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Browse 650+ Java Java Virtual Machine JVM Tuning Jobs (117 new this week) in June 2024 at companies like ManTech International Corporation, Meta and Labelbox with salaries from $84,300 to $293,000 working as a Application Developer, Partner Engineer, Gen AI and Staff Machine Learning Engineer. Last post

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10 of 699 Java Virtual Machine JVM Tuning Jobs • Sort by Date
ManTech International Corporation Logo
Application Developer
ManTech International Corporation
Remote
$84,300 to $140,000 a year
June 2024
2 Applicants This Week

Job Description

Secure our Nation, Ignite your Future

Become an integral part of a diverse team while working at an Industry Leading Organization, where our employees come first. At ManTech International Corporation, you’ll help protect our national security while working on innovative projects that offer opportunities for advancement.

Currently, ManTech is seeking a motivated, career and customer-oriented Application Developer, to join our team! For this position the work and candidate must be within driving distance to Clarksburg WV site for on-site work as needed.

Responsibilities include, but are not limited to

  • Developing applications using traditional SQL based database management systems (Postgres).
  • Unit testing and automated test development using tools such as Selenium, Protractor, SoapUI, Postman
  • Debugging, troubleshooting, and performance tuning.
  • HTML, CSS, Javascript and its frameworks (Dojo, JQuery, Node).
  • Experience writing reusable Java Libraries
  • Use of Relational databases (Oracle or PostgreSQL)
  • Developing code within Linux Systems
  • Developing applications using traditional SQL based database management systems.
  • Excellent oral and written communication skills to include preparing and delivering presentations and artifacts to customer management.
  • Implementing security controls required by Federal information systems.
  • Working with GIT, Jenkins, Maven/Gradle, Centos Linux, Python
  • Development using Agile Scrum methodologies.
  • Knowledge of SAFe
  • Understand and leverage common software architectural styles and patterns

Minimum Qualifications:

  • Bachelor’s degree (in Computer Science or related field) AND 2 or more years directly related experience preferred

Basic Qualifications:

  • 2 or more years of relevant experience working with Java on an enterprise scale
  • Requirement analysis; software design, development, integration, bug fixing, and testing
  • Java (Spring-boot), node, Javascript, Angular
  • RESTful API design and development
  • Java and scripting languages such as Python and JavaScript
  • Test case development; automated testing with SoapUI, LoadUI, Selenium, Groovy, etc.
  • Developing applications using traditional SQL based database management systems (Postgres).
  • Debugging, troubleshooting, and performance tuning
  • Excellent oral and written communication skills to include preparing and delivering presentations and artifacts to customer management.
  • Developing RESTful micro service architectures for web and application services using virtual instances, load balancing, automated surge capability, and integrated performance monitoring.
  • Development with Spring, Spring Boot, or Hibernate.
  • Developing applications using NoSQL data management systems and full text searching.
  • Implementing security controls required by Federal information systems.
  • Automating application deployments
  • Developing with Docker and Kubernetes.
  • Supporting development using Agile Scrum methodologies.

Preferred Qualifications:

  • Bachelor’s degree (in Computer Science or related field) AND 2 or more years directly related experience
  • AWS Technologies
  • Amazon Web Services GovCloud, Atlassian Suite (Jira, Confluence, Bitbucket, Bamboo, etc.), CloudFormation, Data Analytics Tools (powerBI, Quicksight, Jasper), Docker, Eclipse IDE, Elastic Stack: (Elastic search, Kabana, Logstash, Beats), Git, Groovy
  • Team player willing to work under Senior Software Engineers.
  • Development using Agile Scrum methodologies.
  • Knowledge of SAFe

Security Clearance Requirements:

  • Applicants must have an active Top Secret clearance

Physical Requirements:

  • Must be able to remain in a stationary position 50%.
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine and computer printer.
  • Often positions self to maintain computers in the lab, including under the desks and in the server closet.
  • Frequently communicates with co-workers, management and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.
  • May be asked to move Audio/Visual or Computer equipment weighing up to 50 pounds across and/or around a business campus or large facility.

The projected compensation range for this position is $84,300-$140,000. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, ManTech invests in it’s employees beyond just compensation. ManTech’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. For all positions requiring access to technology/software source code that is subject to export control laws, employment with the company is contingent on either verifying U.S.-person status or obtaining any necessary license. The applicant will be required to answer certain questions for export control purposes, and that information will be reviewed by compliance personnel to ensure compliance with federal law. ManTech may choose not to apply for a license for such individuals whose access to export-controlled technology or software source code may require authorization and may decline to proceed with an applicant on that basis alone.

ManTech International Corporation, as well as its subsidiaries proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law.

If you require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please contact ManTech's Corporate EEO Department at (703) 218-6000. ManTech is an affirmative action/equal opportunity employer - minorities, females, disabled and protected veterans are urged to apply. ManTech's utilization of any external recruitment or job placement agency is predicated upon its full compliance with our equal opportunity/affirmative action policies. ManTech does not accept resumes from unsolicited recruiting firms. We pay no fees for unsolicited services.

If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access http://www.mantech.com/careers/Pages/careers.aspx as a result of your disability. To request an accommodation please click [email protected] and provide your name and contact information.


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Meta Logo
Partner Engineer, Gen AI
Meta
Remote
$136,000 to $203,000 a year
May 2024
5 Applicants This Week

Job Description

Meta is seeking a Partner Engineer to join Meta’s Applied AI Partner Engineering team, a highly technical team that works with strategic partners, machine learning leaders across the industry and all major cloud service providers for building and launching new Generative AI product services and experience and taking Large Language Models (LLMs) from research to production. In this role, you will engage with some of the world's most influential companies and work closely with our Llama engineering and AI research teams. The ideal candidate will have industry experience working with PyTorch on a range of deep learning, machine learning, natural language processing, large language models, generative AI, conversational AI, reinforcement learning (RLHF) problems. You will also represent Meta at developer conferences and events. You will be required to develop technical accelerators, case studies, white papers, blogs, reference architectures, and/or presentations to evangelize Meta’s AI design patterns and best practices.

Partner Engineer, Gen AI Responsibilities:

  • Apply relevant AI and machine learning techniques to build and launch generative AI solutions using Meta’s Llama and other state of the art LLMs
  • Understand Meta’s AI/Llama frameworks and products and their underlying implementation
  • Define and execute on a strategy to drive adoption of Llama and other Meta’s AI/ML platform offerings
  • Work closely with cloud providers (like Azure, AWS, GCP) and Meta’s strategic partners on deep learning & LLM integrations
  • Be a subject matter technical expert, and have strategic influence on partners and internal teams at Meta
  • Provide thought leadership, evangelize Meta’s AI and Gen AI services and share best practices through forums such as medium blogs, whitepapers, reference architectures and public-speaking events
  • Develop reference architectures, samples and other materials to share with the broader Meta developer community
  • Work with key partners and LLM developer community to optimize existing generative AI models for improved performance, scalability, and efficiency.
  • Leads technical strategy and roadmap for long-term strategic partners with high level of autonomy / Able to own and navigate long term technical relationship with partners
  • Has good understanding of Responsible AI, proactively identifies risk to Meta and partners and drives involvement from the necessary XFNs
  • Effectively plan, lead and execute on projects with minimal direction & oversight from leadership
  • Proactively communicate feedback, updates, status to direct team as well as relevant cross-functional teams
  • Write clear and concise documentation, including technical specifications, best practices guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders internally and externally.

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • 5+ years experience as software engineer, technical consultant or partner/sales engineer
  • 5+ years of experience in one or more of the following areas: Deep Learning, LLMs, NLP, Speech, Conversational AI,AI-Infrastructure, Fine-tuning and optimizations of PyTorch models.
  • Software development experience in languages like Python, Java, Go, Rust, C/C++. (at least one)
  • Experience with at least one LLM such as Llama, GPT, Claude, Falcon, etc.
  • Experience with at least one deep learning framework such as PyTorch and/or JAX
  • Experience building cloud solutions on any cloud. Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers.
  • Experience communicating and presenting to technical and business audiences

Preferred Qualifications:

  • BS, MS or Ph.D. degree in Computer Science or related quantitative field
  • Solid understanding of at least one Deep Learning framework (PyTorch, Tensorflow or MXNet)
  • Experience building Deep Learning - Computer Vision or Natural Language Processing or Recommender Systems models using the frameworks.
  • Apply relevant AI and machine learning techniques to build
  • Experience influencing and building mindshare convincingly with any audience.
  • Experience working with internal and external partners
  • Data science background and experience manipulating/transforming data, model selection, model training, model optimization and deployment at scale.
  • Experience deploying production-grade machine learning solutions on public cloud platforms (like AWS)
  • (Nice to have) Experience of launching a product / service or application into market is a plus
  • (Nice to have) Knowledge of Mobile/IoT for deploying ML models at the edge is a plus
  • (Nice to have) Contributed to an Open Source project, submitted PRs for features/ fixed bugs and/or created sample applications in OSS or participated in Kaggle competitions

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].


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Labelbox Logo
Staff Machine Learning Engineer
Labelbox
Remote
$215,000 to $250,000 a year
May 2024
11 Applicants This Week

Job Description

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.

Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.

About the Role

As a Staff Machine Learning Engineer at Labelbox, you will be a technical leader for the team building a scalable AI platform that uses foundation models for real-world AI applications. You will be responsible for prototyping and developing production grade tools for model fine tuning, evaluation, experimentation, metrics and quality control, and alignment with human or AI feedback. You will draw on your expertise in machine learning, natural language processing, and deep learning, and how various Foundation Models, including multi-modal models, embody these technologies, to drive the success of our AI initiatives in terms of roadmap definition, architecture decisions and execution, delivering products that meet the needs of our customers.

Your Day to Day

  • Enhance and improve Labelbox’s core machine learning capabilities, including model registry, training and inferencing, towards making it a best-in-class AI Platform-as-a-Service. Examples include improving inference latency or optimizing training memory consumption.
  • Conduct feasibility studies and prototype development for new applications leveraging foundation models.
  • Research design, and incorporate approaches and metrics for evaluating generated output from models, including human-preference metric, e.g. ranking and selection and other types, e.g. model performance variance with ELO scores.
  • Provide guidance to other engineering teams on best practices for leveraging machine learning, specifically using Labelbox’s AI engine as a PaaS.
  • Mentor and guide less experienced engineers while driving initiatives towards completion.
  • Guide customers and the broader Labelbox community with best practices in AI using Foundation Models, through meetings, PoC applications, webinars, blog posts, etc.
  • Oversee and define mechanisms for adaptation, hyperparameter tuning and fine-tuning of foundation models to suit specific application requirements.
  • Engage with stakeholders, including customers, to understand their needs, gather requirements, and provide expert advice on AI-driven solutions.
  • Stay abreast of industry trends, emerging technologies, and advancements in foundation models and their applications. Analyze, assess and incorporate technologies coming out of various AI research labs.
  • Contribute to technical documentation, research publications, blog posts, and presentations at conferences and forums.

About You

  • Bachelor’s degree in computer science or related field. Advanced degree preferred.
  • 5+ years of work experience in a software company in the domain of distributed systems, ML engineering, AI/ML infrastructure or platforms.
  • Extensive software design and architecture skills in large-scale systems and AI/ML systems design.
  • Proven experience in developing and implementing large-scale systems that integrate with Foundation Models for real-world applications.
  • Experience with various types of foundation models and multi-modal models.
  • Experience with machine learning algorithms, natural language processing, and deep learning frameworks.
  • Experience working on Generative AI, including model fine-tuning, experimentation, metrics for model evaluation, monitoring and quality-control.
  • Strong understanding of AI agents architecture, RLHF, building and/or using ML pipelines for training and inference.
  • An understanding of transformers and LLM architecture.
  • Good grasp of the overall Data + AI ecosystem, including data processing technologies.
  • Proficiency in programming languages such as Python, Typescript, or Java.
  • Demonstrated ability to keep up with industry trends and research in the AI/ML landscape.
  • Excellent communication and collaboration skills.
  • Thrive in a fast-paced environment with willingness and ability to dive deep.
  • Comfortable with ambiguity and able to break-down high level requirements into actionable tasks in a methodical manner.
  • Resourceful, creative, problem-solver with an attention to detail who will not hesitate to take initiative and get things done.

Engineering at Labelbox

We build a comprehensive platform and end-to-end tool suite for AI system development. We believe in providing the best user experience at scale with high quality. Our customers use our platform in production environments, daily, to build and deploy AI systems that have a real positive impact in the world.

We believe in collaborative excellence and shared responsibility with decision making autonomy wherever possible. We strive for a great developer experience with continuous fine tuning. How we work is one of the cornerstones of engineering excellence at Labelbox.

We learn by pushing boundaries, engaging in open debate to come up with creative solutions, then committing to execution. We continuously explore and exploit new technologies, creating new and perfecting existing techniques and solutions. Making customers win is our North Star.

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The *expected annual base salary range for United States-based candidates*is $215,000 - $250,000. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Excel in a remote-friendly hybrid model.

We are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.

Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications. If you are uncertain about the legitimacy of any communication you have received, please do not hesitate to reach out to us at [email protected] for clarification and verification.


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ServiceNow Logo
Senior Performance Support Consultant (Escalations Engineering)
ServiceNow
Remote
$137,500 to $240,500 a year
June 2024

Job Description

Company Description

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you.

With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.

Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.

Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.

Job Description

The Staff Engineer, AEE role is a unique opportunity to join the Customer Service and Support team working with some of our largest customers with their toughest performance and scalability challenges. You will be accountable for driving the successful closure of critical escalated technical issues for our most complex and strategically important customers.

As someone who can think outside the box, you will work on a mixture of reactive and proactive engagements where your technical troubleshooting skills in the stack will come to the fore. In addition, your top-notch consulting skills will be put to good use as you will take on the role of “trusted advisor” to help turn a bad situation around and help customers get maximum value from our platform.

We’re looking for the best of the best and the cream of the crop. In return, we offer highly competitive base salaries and benefits including generous holiday allowances, bonus scheme, stock options, and flexible working arrangements. Our inclusive work culture embraces belonging and individuality, collaboration, and customer orientation.

Our customers are our North Star and we are passionate about making them successful!

What you get to do in this role:

You will be partnering with our largest customers & Internal stakeholders to identify and root cause performance and scalability issues impacting their ServiceNow deployments. Successful hires will get a chance to:

  • Use problem solving skills along side industry leading tools to holistically analyse ServiceNow instances to identify and remediate resource contention at all layers of the stack
  • Explore platform Java and JavaScript code to gain a detailed understanding of the behavior of ServiceNow applications
  • Improve the throughput of Java Virtual Machines (JVMs) by deep diving into memory allocation and garbage collection tuning
  • Optimize relational database performance by refactoring queries at the application layer or by applying tuning within the database itself
  • Use extensive lab / test environments to reproduce and root cause issues impacting customer’s ServiceNow deployment(s)
  • Engage with cross functional teams to highlight identified product defects, assist with implementation of work arounds, or devising long term fixes
  • Drive improvement from within by creating high quality knowledge articles, developing tooling for use within the support organization, or mentoring and training junior colleagues
  • Build and deliver compelling presentations to a variety of internal and customer stakeholders acting as a trusted advisor on how they can improve the performance of their ServiceNow deployment and adhere to leading practice guidelines

Qualifications To be successful in this role you have:

  • 8+ years of progressive experience in technical support, software development, performance load testing or professional services
  • Working knowledge of the components in a web applications stack
  • Experience with one (or more) scripting languages: e.g. JavaScript, Python, Perl, Unix Shell, Windows Powershell etc..
  • Experience with working with (or debugging) Object Oriented code (Java preferred)
  • Working knowledge of one (or more) Relational Database technologies e.g. Oracle / MySQL / SQL Server / PostgreSQL
  • Strong problem-solving, leadership, time management, and critical thinking skills
  • Excellent communication and presentation skills with an aptitude for learning new technologies

Desired Skills

  • Prior experience of ServiceNow Architecture is preferred but not essential as full product training will be provided
  • Performance tuning of databases + SQL query tuning
  • Prior experience of Cloud/SaaS software
  • Knowledge of memory management, including core / heapdump analysis (Java heap dump analysis preferred)
  • Fundamental understanding of ITSM, ITIL, or CMDB
  • Experience administering: Linux/Unix OR Microsoft Windows Server
  • Experience of Firebug, Chrome Developer Tools, Fiddler, etc.
  • "Portugese" speaking is a plus

JV20

For positions in the Bay Area, we offer a base pay of $137,500 - $240,500, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.

Additional Information

ServiceNow is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.

At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here to learn about our work personas: flexible, remote and required-in-office.

If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at [email protected] for assistance.

For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by the U.S. Government.

Please Note: Fraudulent job postings/job scams are increasingly common. Click here to learn what to watch out for and how to protect yourself. All genuine ServiceNow job postings can be found through the ServiceNow Careers site.

From Fortune. © 2022 Fortune Media IP Limited All rights reserved. Used under license.

Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, ServiceNow.


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ServiceNow Logo
Senior Performance Support Consultant (Escalations Engineering)
ServiceNow
Remote
$137,500 to $240,500 a year
June 2024

Job Description

Company Description

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you.

With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.

Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.

Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.

Job Description

The Staff Engineer, AEE role is a unique opportunity to join the Customer Service and Support team working with some of our largest customers with their toughest performance and scalability challenges. You will be accountable for driving the successful closure of critical escalated technical issues for our most complex and strategically important customers.

As someone who can think outside the box, you will work on a mixture of reactive and proactive engagements where your technical troubleshooting skills in the stack will come to the fore. In addition, your top-notch consulting skills will be put to good use as you will take on the role of “trusted advisor” to help turn a bad situation around and help customers get maximum value from our platform.

We’re looking for the best of the best and the cream of the crop. In return, we offer highly competitive base salaries and benefits including generous holiday allowances, bonus scheme, stock options, and flexible working arrangements. Our inclusive work culture embraces belonging and individuality, collaboration, and customer orientation.

Our customers are our North Star and we are passionate about making them successful!

What you get to do in this role:

You will be partnering with our largest customers & Internal stakeholders to identify and root cause performance and scalability issues impacting their ServiceNow deployments. Successful hires will get a chance to:

  • Use problem solving skills along side industry leading tools to holistically analyse ServiceNow instances to identify and remediate resource contention at all layers of the stack
  • Explore platform Java and JavaScript code to gain a detailed understanding of the behavior of ServiceNow applications
  • Improve the throughput of Java Virtual Machines (JVMs) by deep diving into memory allocation and garbage collection tuning
  • Optimize relational database performance by refactoring queries at the application layer or by applying tuning within the database itself
  • Use extensive lab / test environments to reproduce and root cause issues impacting customer’s ServiceNow deployment(s)
  • Engage with cross functional teams to highlight identified product defects, assist with implementation of work arounds, or devising long term fixes
  • Drive improvement from within by creating high quality knowledge articles, developing tooling for use within the support organization, or mentoring and training junior colleagues
  • Build and deliver compelling presentations to a variety of internal and customer stakeholders acting as a trusted advisor on how they can improve the performance of their ServiceNow deployment and adhere to leading practice guidelines

Qualifications To be successful in this role you have:

  • 8+ years of progressive experience in technical support, software development, performance load testing or professional services
  • Working knowledge of the components in a web applications stack
  • Experience with one (or more) scripting languages: e.g. JavaScript, Python, Perl, Unix Shell, Windows Powershell etc..
  • Experience with working with (or debugging) Object Oriented code (Java preferred)
  • Working knowledge of one (or more) Relational Database technologies e.g. Oracle / MySQL / SQL Server / PostgreSQL
  • Strong problem-solving, leadership, time management, and critical thinking skills
  • Excellent communication and presentation skills with an aptitude for learning new technologies

Desired Skills

  • Prior experience of ServiceNow Architecture is preferred but not essential as full product training will be provided
  • Performance tuning of databases + SQL query tuning
  • Prior experience of Cloud/SaaS software
  • Knowledge of memory management, including core / heapdump analysis (Java heap dump analysis preferred)
  • Fundamental understanding of ITSM, ITIL, or CMDB
  • Experience administering: Linux/Unix OR Microsoft Windows Server
  • Experience of Firebug, Chrome Developer Tools, Fiddler, etc.
  • "Portugese" speaking is a plus

JV20

For positions in the Bay Area, we offer a base pay of $137,500 - $240,500, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.

Additional Information

ServiceNow is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.

At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here to learn about our work personas: flexible, remote and required-in-office.

If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at [email protected] for assistance.

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Labelbox Logo
Senior Engineering Manager, Machine Learning Engineering
Labelbox
Remote
$220,000 to $240,000 a year
May 2024
10 Applicants This Week

Job Description

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.

Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.

About the Role

As engineering manager for the machine learning engineering team at Labelbox, you will lead and grow a team working on building a scalable platform that uses foundation models for real-world AI applications. You will manage the day to day running of the team, including sprint planning, daily scrums, 1:1s, etc. You will also bring to the table domain knowledge in AI/ML infrastructure and platforms, and related tooling. You will work closely with sister teams across the engineering organization to collaborate on key initiatives. This role expects the team manager to be technically sound with domain knowledge in machine learning engineering and frameworks, and willing to roll up their sleeves and start coding if needed.

Your Day to Day

  • Drive engineering execution for your team through guidance and technical leadership.
  • Collaborate with cross-functional teams to prioritize work items, track progress and deliver on commitments.
  • Prioritize tasks, lead the release, and sprint planning efforts.
  • Recruit and grow a high-performing engineering team.
  • Work with each engineer in the team on a career progression plan. Identify and address skill gaps.
  • Interested and able to be a hands-on contributor during the entire development cycle from conception and design through release.
  • Brainstorm with engineers on ML system designs and technologies.
  • Unblock and guide the team to ensure adherence to commitment deadlines and quality standards.
  • Interface and communicate regularly with senior management and technical architects.
  • Work with the broader engineering organization to ensure that the infrastructure and tools we build are performant, scalable, reliable, and secure.
  • Engage with stakeholders, including customers, to understand their needs, gather requirements, and provide expert advice on AI-driven solutions.
  • Contribute to technical documentation, research publications, blog posts, and presentations at conferences and forums.
  • Stay abreast of industry trends and emerging technologies. Analyze, assess and incorporate relevant technologies coming out of various AI research labs.

About You

  • Bachelor’s degree in computer science or related field. Advanced degree preferred.
  • 8+ years of work experience in a software company in the domain of distributed systems, ML engineering, AI/ML infrastructure or platforms.
  • 3+ years of leadership experience managing one or more highly technical teams.
  • Demonstrated experience in project management and tools such as Jira.
  • Experience with agile software development and exhibited end-to-end ownership of projects.
  • A disciplined approach to software development with focus on testing and quality.
  • Extensive software design and architecture skills in large-scale systems and AI/ML systems design.
  • Familiarity with building applications using Foundation Models.
  • Working knowledge of machine learning algorithms, natural language processing, and deep learning frameworks.
  • Working knowledge of Generative AI landscape, including model fine-tuning, experimentation, metrics for model evaluation, monitoring and quality-control.
  • Familiarity with Retrieval Augmented Generation, AI agents architecture, RLHF, building and/or using ML pipelines for training and inference.
  • Proficiency in programming languages such as Java, Python or TypeScript.
  • Experience working with cloud computing platforms and data processing technologies.
  • Excellent communication and collaboration skills.
  • Thrive in a fast-paced environment with a willingness to dive deep and to get things done.
  • Strong desire and demonstrated ability to keep up with industry trends and research in the AI/ML landscape.

Engineering at Labelbox

We build a comprehensive platform and end-to-end tool suite for AI system development. We believe in providing the best user experience at scale with high quality. Our customers use our platform in production environments, daily, to build and deploy AI systems that have a real positive impact in the world.

We believe in collaborative excellence and shared responsibility with decision making autonomy wherever possible. We strive for a great developer experience with continuous fine tuning. How we work is one of the cornerstones of engineering excellence at Labelbox.

We learn by pushing boundaries, engaging in open debate to come up with creative solutions, then committing to execution. We continuously explore and exploit new technologies, creating new and perfecting existing techniques and solutions. Making customers win is our North Star.

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The *expected annual base salary range for United States-based candidates*is $220,000 - $240,000. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Excel in a remote-friendly hybrid model.

We are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.

Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications. If you are uncertain about the legitimacy of any communication you have received, please do not hesitate to reach out to us at [email protected] for clarification and verification.


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ManTech International Corporation Logo
Application Developer
ManTech International Corporation
Remote
$99,200 to $164,600 a year
May 2024
10 Applicants This Week

Job Description

Secure our Nation, Ignite your Future

Become an integral part of a diverse team while working at an Industry Leading Organization, where our employees come first. At ManTech International Corporation, you’ll help protect our national security while working on innovative projects that offer opportunities for advancement.

Currently, ManTech is seeking a motivated, career and customer-oriented Application Developer, to join our team! For this position the work and candidate must be within driving distance to Clarksburg WV site for on-site work as needed.

Responsibilities include, but are not limited to:

  • Developing applications using traditional SQL based database management systems (Postgres).
  • Unit testing and automated test development using tools such as Selenium, Protractor, SoapUI, Postman.
  • Debugging, troubleshooting, and performance tuning.
  • HTML, CSS, Javascript and its frameworks (Dojo, JQuery, Node).
  • Experience writing reusable Java Libraries.
  • Use of Relational databases (Oracle or PostgreSQL).
  • Developing code within Linux Systems.
  • Developing applications using traditional SQL based database management systems.
  • Excellent oral and written communication skills to include preparing and delivering presentations and artifacts to customer management.
  • Implementing security controls required by Federal information systems.
  • Working with GIT, Jenkins, Maven/Gradle, Centos Linux, Python.
  • Development using Agile Scrum methodologies.
  • Knowledge of SAFe.
  • Understand and leverage common software architectural styles and patterns.

Minimum Qualifications

  • 4 or more years of relevant experience working with Java on an enterprise scale.
  • Requirement analysis; software design, development, integration, bug fixing, and testing.
  • Java (Spring-boot), node, Javascript, Angular.
  • RESTful API design and development.
  • Java and scripting languages such as Python and JavaScript.
  • Test case development; automated testing with SoapUI, LoadUI, Selenium, Groovy, etc.
  • Developing applications using traditional SQL based database management systems (Postgres).
  • Debugging, troubleshooting, and performance tuning.
  • Excellent oral and written communication skills to include preparing and delivering presentations and artifacts to customer management.
  • Developing RESTful micro service architectures for web and application services using virtual instances, load balancing, automated surge capability, and integrated performance monitoring.
  • Development with Spring, Spring Boot, or Hibernate.
  • Developing applications using NoSQL data management systems and full text searching.
  • Implementing security controls required by Federal information systems.
  • Automating application deployments
  • Developing with Docker and Kubernetes.
  • Supporting development using Agile Scrum methodologies.

Preferred Qualifications:

  • Bachelor’s degree (in Computer Science or related field) AND 4 or more years directly related experience.
  • AWS Technologies.
  • Amazon Web Services GovCloud, Atlassian Suite (Jira, Confluence, Bitbucket, Bamboo, etc.), CloudFormation, Data Analytics Tools (powerBI, Quicksight, Jasper), Docker, Eclipse IDE, Elastic Stack: (Elastic search, Kabana, Logstash, Beats), Git, Groovy.
  • Team player willing to work under Senior Software Engineers.
  • Development using Agile Scrum methodologies.
  • Knowledge of SAFe.

Security Clearance Requirements:

  • Applicants must have an active Top Secret clearance

The projected compensation range for this position is $99,200-$164,600. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, ManTech invests in it’s employees beyond just compensation. ManTech’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. For all positions requiring access to technology/software source code that is subject to export control laws, employment with the company is contingent on either verifying U.S.-person status or obtaining any necessary license. The applicant will be required to answer certain questions for export control purposes, and that information will be reviewed by compliance personnel to ensure compliance with federal law. ManTech may choose not to apply for a license for such individuals whose access to export-controlled technology or software source code may require authorization and may decline to proceed with an applicant on that basis alone.

ManTech International Corporation, as well as its subsidiaries proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law.

If you require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please contact ManTech's Corporate EEO Department at (703) 218-6000. ManTech is an affirmative action/equal opportunity employer - minorities, females, disabled and protected veterans are urged to apply. ManTech's utilization of any external recruitment or job placement agency is predicated upon its full compliance with our equal opportunity/affirmative action policies. ManTech does not accept resumes from unsolicited recruiting firms. We pay no fees for unsolicited services.

If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access http://www.mantech.com/careers/Pages/careers.aspx as a result of your disability. To request an accommodation please click [email protected] and provide your name and contact information.


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Meta Logo
Software Engineer, Machine Learning
Meta
San Francisco, United States
$177,008 to $251,000 a year
June 2024

Job Description

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

Software Engineer, Machine Learning Responsibilities:

  • Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)
  • Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
  • Leading a team from a technical perspective to develop ML best practices and influence engineering culture
  • Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
  • Suggest, collect and synthesize requirements and create effective feature roadmap
  • Code deliverables in tandem with the engineering team

Minimum Qualifications:

  • 7+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD
  • 6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field
  • Experience with scripting languages such as Python, Javascript or Hack
  • Experience leading major initiatives successfully
  • Experience building and shipping high quality work and achieving high reliability
  • Experience with developing machine learning models at scale from inception to business impact
  • Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
  • Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects
  • Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:

  • Masters degree or PhD in Computer Science or a related technical field
  • Exposure to architectural patterns of large scale software applications
  • Experience with scripting languages such as Pytorch and TF

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].


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Meta Logo
Software Engineer (Technical Leadership) - Machine Learning
Meta
San Francisco, United States
$213,000 to $293,000 a year
June 2024

Job Description

Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.

Software Engineer (Technical Leadership) - Machine Learning Responsibilities:

  • Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient
  • Effectively communicate complex features & systems in detail
  • Understand industry & company-wide trends to help assess & develop new technologies
  • Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
  • Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
  • Suggest, collect and synthesize requirements and create an effective feature roadmap
  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Experience leading projects with industry-wide impact
  • Experience communicating and working across functions to drive solutions
  • Experience in mentoring/influencing senior engineers across organizations
  • Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision
  • Experience in driving large cross-functional/industry-wide engineering efforts
  • 12+ years of experience in programming languages (Python, C++, Java or R) with technical background
  • 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence

Preferred Qualifications:

  • Experience in shipping products to millions of customers or have started a new line of product
  • Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].


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Meta Logo
Software Engineer (Technical Leadership) - Machine Learning
Meta
Remote
$213,000 to $293,000 a year
June 2024

Job Description

Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.

Software Engineer (Technical Leadership) - Machine Learning Responsibilities:

  • Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient
  • Effectively communicate complex features & systems in detail
  • Understand industry & company-wide trends to help assess & develop new technologies
  • Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
  • Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
  • Suggest, collect and synthesize requirements and create an effective feature roadmap
  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Experience leading projects with industry-wide impact
  • Experience communicating and working across functions to drive solutions
  • Experience in mentoring/influencing senior engineers across organizations
  • Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision
  • Experience in driving large cross-functional/industry-wide engineering efforts
  • 12+ years of experience in programming languages (Python, C++, Java or R) with technical background
  • 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence

Preferred Qualifications:

  • Experience in shipping products to millions of customers or have started a new line of product
  • Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].


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