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Browse 44 Java Jobs (117 new this week) in New York, United Satates 🇺🇸 in June 2024 at companies like Meta, Care.com and Federal Reserve Bank of New York with salaries from $105,000 to $314,000 working as a Director, Data Engineering, Principal Fullstack Engineer - Front End (New York, NY) and Senior AWS Cloud Full Stack Developer. Last post

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10 of 44 Java Jobs in New York, United Satates 🇺🇸 • Sort by Date
Meta Logo
Director, Data Engineering
Meta
City of New York, United States
$253,000 to $314,000 a year
June 2024

Job Description

Do you like working with big data? Do you want to use data to help drive the direction of products that impact the lives of over one billion people every day? If yes, we want to talk to you. We’re looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists, Software Engineers and ML Engineers to support our world class AI Infra roadmap by building the data architecture that informs decisions and drives insight. In this role, you’ll see a direct link between your work, company growth, and user experiences. You’ll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and you’ll see your efforts affect products and people on a regular basis.The perfect candidate will have strong data infrastructure and data architecture skills, a proven track record of leading and scaling large data teams, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision for how Data Engineering can proactively improve companies. Experience In AI and the ML lifecycle is a plus.

Director, Data Engineering Responsibilities:

  • Proactively formulate and implement the vision for the foundation for data and analytics to support theInfrastructure org and its goals.
  • Drive technical and process innovation to increase the maturity and capability of Infrastructure data engineering team and practices.
  • Establish the processes needed to achieve operational excellence in data fidelity, data privacy, system reliability, and enabling rapid experimentation and data-informed decisions.
  • Manage and grow a high-quality data engineering team.
  • Partner with cross-functional teams of Data Scientists, Software Engineers, Product Managers, Researchers, and other partner groups to understand their data needs and deliver on them.
  • Drive the design, building, and launching of new data models and data pipelines in production.
  • Define and manage SLAs for all data sets and processes running in production.
  • Drive data quality across the product vertical and related business areas.
  • Manage the delivery of high-impact dashboards, data sets, and data visualizations.
  • Contribute to improving data engineering competency across Facebook.

Minimum Qualifications:

  • 12+ years of experience in Analytics, BI and Data Warehousing.
  • Experience scaling and managing 20+ person teams and in managing managers.
  • Experience leading in a highly cross-functional environment, likely collaborating closely with Engineering, Product Management, and/or Data Science
  • Communication and leadership experience, with experience initiating and driving large scale strategic initiatives.
  • Data architecture experience.
  • Experience in SQL or similar languages.
  • Development experience in at least one object-oriented language (Python, Java, etc.).
  • Solid understanding of how experimentation (A/B testing) works

Preferred Qualifications:

  • BA/BS in Computer Science, Math, Physics, or other technical fields
  • Experience with ML development lifecycle
  • Experience working on large scale infrastructure
  • Experience with automating data auditing through comprehensive lineage tools.
  • Experience with large volume data sets, Hive/Presto, and data visualization tools.

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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Care.com Logo
Principal Fullstack Engineer - Front End (New York, NY)
Care.com
City of New York, United States
$160,000 to $200,000 a year
June 2024

Job Description

About Care.com

Care.com is a consumer tech company with heart. We're on a mission to solve a human challenge we all face: finding great care for the ones we love. We're moms and dads and pet parents. We have parents and grandparents, so we understand that everyone, at some point in their lives, could use a helping hand. Our culture and our products reflect that. Care.com offers of an array of services that enable families to find, manage and pay for care and provide employment opportunities for caregivers. Our engineering organization is reimagining our tech stacks and consolidating to a single cloud native platform, so we can test and learn faster.

The new platform is composed of gRPC microservices and Lambdas in Go, Kafka streams, DynamoDB, Elasticsearch, GraphQL, and micro-frontends on Node and React. We're utilizing industry practices and tools like OpenTelemetry, Splunk, Github, SignalFX, Figma, and others to make our lives easier. Here, entrepreneurs, self-starters, standout colleagues, and big problem solvers unite behind a common cause. Here, we're applying data analytics, AI, and the latest technologies to solve universal problems and connect people in new ways. If you like having autonomy, if you flourish with collaboration and building new things, and if you're all about using your talent for good, Care.com is the place for you.

What You'll Be Working On:

We are seeking a highly motivated individual to join the our Technology team as a Principal Fullstack Software Engineer (Frontend Leaning). This role will work primarily with frontend technologies while supporting on the backend The candidate would join a small, agile team responsible for building product use cases to support our community team. The candidate will be responsible for the analysis, design, programming, testing, documentation, and implementation of new product features.

  • Work with partners in product management to understand business requirements
  • Collaborate with multi-functional teams like Product Engineering, DevOps, Identify, Infrastructure, Platform Engineering, etc.
  • Own and review work for accuracy, quality, performance, and completeness

Technologies We Work With:

  • React
  • Java
  • Next.js framework
  • Javascript
  • CSS / CSS-in-JS
  • Jest
  • Enzyme
  • GraphQL
  • Typescript
  • Node.js
  • Golang is a plus
  • Apollo
  • CI/CD is a plus
  • Storybook is a plus
  • Webpack is a plus

What You'll Need to Succeed:

  • 10+ Years Professional Experience
  • 5+ years React experience
  • 2+ years Java experience
  • Good knowledge of API design and development
  • Ability to thrive as part of a multi-site development team
  • Ability to test, debug and monitor your own code
  • A bias to action and passion for problem-solving
  • Knowledge of AWS or other cloud technologies
  • Worked with CI/CD tools with an emphasis on building quality code and speed to market

Location: Please note this role is for candidates based in the New York Metro area

For a list of our Perks + Benefits, click here!

Care.com supports diverse families and communities and seeks employees who are just as diverse. As an equal opportunity employer, Care.com recognizes the power of a diverse and inclusive workforce and encourages applications from individuals with varied experiences, perspectives, and backgrounds. Care.com is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please reach out to [email protected].

Company Overview:

Available in more than 20 countries, Care.com is the world's leading platform for finding and managing high-quality family care. Care.com is designed to meet the evolving needs of today's families and caregivers, offering everything from household tax and payroll services and customized corporate benefits packages covering the care needs of working families, to innovating new ways for caregivers to be paid and obtain professional benefits. Since 2007, families have relied on Care.com's industry-leading products—from child and elder care to pet care and home care. Care.com is an IAC company (NASDAQ: IAC).

Salary Range: 160,000 - 200,000.The base salary range above represents the anticipated low and high end of the national salary range for this position. Actual salaries may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. The range listed is just one component of Care.com's total compensation package for employees. Other rewards may include annual bonuses and short- and long-term incentives. In addition, Care.com provides a variety of benefits to employees, including health insurance coverage, life, and disability insurance, a generous 401K employer matching program, paid holidays, and paid time off (PTO).


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Federal Reserve Bank of New York Logo
Senior AWS Cloud Full Stack Developer
Federal Reserve Bank of New York
City of New York, United States
$140,000 to $230,300 a year
June 2024

Job Description

Company Federal Reserve Bank of New York Working at the Federal Reserve Bank of New York positions you at the center of the financial world with a unique perspective on national and international markets and economies. You will work in an environment with a diverse group of experienced professionals to foster and support the safety, soundness, and vitality of our economic and financial systems.

The Bank believes in work flexibility to balance the demands of work and life while also connecting and collaborating with our colleagues in person. Employees can expect to be in the office a couple of days per week as needed for meetings and team collaboration and should live within a commutable distance. What we do: The Enterprise Platforms and Capabilities (EPC) Technology Group function provides leadership to promote innovation and maturity of software development in support of the product and enterprise platform delivery teams for the NY Fed. EPC is comprised of Enterprise Data Platforms and Enterprise Platforms divisions. The Enterprise Platforms division supports the Bank’s mission-oriented business groups and enabling functions by providing solution development on key Enterprise Platforms. Our enterprise platforms division enables key business capabilities including content management, constituent relationship management, workflow management, and governance and risk compliance. Our data platforms division enables delivery of enterprise data capabilities supporting our data strategy, including data management and analytics offerings. All our platform teams (also known as product squads) operate in an agile operating environment where DevSecOps principles promote collaboration across the business and various technical teams to deliver the highest business value. Our teams are focused on increasing speed to market while continuously improving quality, security, and resiliency. Your role as Senior AWS Cloud Full Stack Developer:* Build Enterprise Data Platform that provides a robust and flexible platform to gets data in different formats from several external banks, respondents, and internal systems within the bank, with capability to ingest, transform and enrich data, review the data quality, identify, and resolve data quality issues and make the data available for consumption. * Design and develop scalable, resilient, and observable applications. * Build robust UI components that provides rich user experience. * Develop applications with high test automation and code coverage. * Work on migrating applications from on-premises location to the cloud service providers. * Develop, modify, extend code for building cloud infrastructure, and automate using CI/CD pipeline. * Troubleshoot issues and resolve. * Actively participate in code reviews. * Partners with business and peers in the pursuit of solutions that achieve business goals through an agile software development methodology. * Perform problem analysis, data analysis, reporting, and communication. * Work with peers across the system to define and implement best practices and standards. * Assess applications and help determine the appropriate application infrastructure patterns. * Use best practices and knowledge of internal or external drivers to improve products or services.

What we are looking for:* Expert level proficiency with hands-on design and development of full stack applications with solid knowledge on UI technologies. * Good proficiency in Java. Preferable to have Python skills. * Expert level skills in SQL queries in databases like Oracle, SQL Server * Solid hands-on experience leveraging Docker containers. * Strong technical skill in software engineering in Java EE/Cloud technologies and proficiency in Java Lambdas, Java Streams API, Java functional programming. * Hands-on experience in building/implementing cloud native applications, preferably on AWS platform. * Expertise in AWS Compute (Fargate), AWS Storage (S3), AWS Data Integration (preferably Glue), Lambda, Secrets Manager and AWS Core services. * Excellent knowledge in Spark, Databricks Workflows and Pipelines. * Good understanding of AWS Identity and Access management, AWS Networking and AWS Monitoring tools. * Proficiency in CI/CD and deployment automation using GITLAB pipeline. * Proficiency in Cloud infrastructure provisioning tools (i.e. Terraform). * Hands-on experience of building distributed system with micro-services, Spring boot and Spring cloud. * Passion for developing loosely coupled testable applications using automated unit tests, Integration Test, etc. * Preferable to have a major in Computer Science in the Undergraduate/Graduate

Salary Range: $140000 - $230300 / yearWe believe in transparency at the NY Fed. This salary range reflects a variety of skills and experiences candidates may bring to the job. We pay individuals along this range based on their unique backgrounds. Whether you’re stretching into the job or are a more seasoned candidate, we aim to pay competitively for your contributions.

Our Touchstone Behaviors—Communicate Authentically, Collaborate Inclusively, Drive Progress, Develop Others, and Take Ownership—help shape the culture of the Bank. They also provide a shared language for how we work together and achieve success, and they set clear expectations for leading with impact at every stage of your career with us. Learn more.

Benefits: Our organization offers benefits that are the best fit for you at every stage of your career:* Fully paid Pension plan and 401k with Generous Match * Comprehensive Insurance Plans (Medical, Dental and Vision including Flexible Spending Accounts and HSA) * Subsidized Public Transportation Program * Tuition Assistance Program * Onsite Fitness & Wellness Center * And more The New York Fed expects its employees to perform their duties with honesty, integrity, and impartiality, and without improper preferential treatment of any person. Learn more about our code of conduct and conflicts of interest rules. The Federal Reserve Bank of New York is committed to a diverse workforce and to providing equal employment opportunity to all persons without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, genetic information, disability, pregnancy, or military service. We value accessibility for all candidates and are happy to provide an accommodation or *assistance*. Please email us at [email protected] and we’ll be glad to help. Please note, this is a dedicated e-mail box designed exclusively to assist applications with accommodation requests in relation to our recruiting process. All other inquires including the status of applications will not receive a response from this e-mail box.

This is not necessarily an exhaustive list of all responsibilities, duties, performance standards or requirements, efforts, skills or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, management reserves the right to revise the job or to require that other or different tasks be performed when circumstances change.This position requires access to confidential supervisory information (CSI) and/or Federal Open Market Committee (FOMC) information. Access to CSI and FOMC information is limited to U.S. citizens, lawful permanent residents, individuals who meet the definition of “protected individual” under 8 U.S.C. § 1324b(a)(3), and certain other nonimmigrants. All non-U.S. citizens authorized to access CSI and/or FOMC information must sign a declaration of intent to expeditiously become a lawful permanent resident and thereafter a U.S. citizen when eligible. Full Time / Part Time Full time Regular / Temporary Regular Job Exempt (Yes / No) Yes Job Category Information Technology Work Shift First (United States of America)The Federal Reserve Banks believe that diversity and inclusion among our employees is critical to our success as an organization, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences. Privacy Notice


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Peloton Logo
Software Engineer
Peloton
City of New York, United States
$136,300 to $177,300 a year
June 2024

Job Description

ABOUT THE ROLE

We are looking for a passionate Backend Software Engineer who is enthusiastic about building scalable and performant backend services. You'll build out infrastructure that delivers delightful experiences to Peloton's passionate member community. Your work will positively impact the ability of members to interact and engage with Peloton's products in new and meaningful ways, from powering new modes of interaction to improving accessibility for all members.

YOUR DAILY IMPACT AT PELOTON

  • Adhere to the highest engineering quality standards to ensure that systems are traceable, reliable, performant and scalable
  • Develop new backend features to support the delivery of experiences within Peloton's products
  • Build internal infrastructure and tooling as needed to support product features

YOU BRING TO PELOTON

  • 2+ years of software engineering experience
  • Experience with Java, Python or similar languages
  • Experience building and scaling out RESTful microservices
  • Familiarity with accessing, querying and writing to data stores like PostgreSQL, MongoDB, DynamoDB, Elasticsearch, etc.
  • Experience with Docker, Kubernetes, Spring Boot, gRPC
  • Experience with scaling microservices to hundreds of thousands of clients

#LI-RF2

#LI-Hybrid

ABOUT PELOTON:

Peloton (NASDAQ: PTON), provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together immersive classes, cutting-edge technology and hardware, and the Peloton App with multiple tiers to personalize the Peloton experience [with or without equipment]. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com.

At Peloton, we motivate the world to live better. "Together We Go Far" means that we are greater than the sum of our parts, stronger collectively when each one of us is at our best. By combining hardware, software, content, retail, apparel, manufacturing, Member support, and so much more, we deliver an exhilarating fitness experience that unlocks our members' greatness. Join our team to unlock yours.

Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment. If you would like to request any accommodations from application through to interview, please email: [email protected]

Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here *on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @*onepeloton.com email address.

If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email [email protected] before taking any further action in relation to the correspondence.

Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.


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Northwestern Mutual Logo
Senior Software Engineer
Northwestern Mutual
City of New York, United States
$124,551 to $213,850 a year
June 2024

Job Description

At Northwestern Mutual, we are strong, innovative and growing. We invest in our people. We care and make a positive difference.

The Senior Software Engineer at Northwestern Mutual Life Insurance Company in New York, New York will lead analysis of product requirements, design solutions, enhance systems, and automate existing processes to improve usability. Re-engineer legacy applications by selectively de-normalizing parts of model for performance using SQL. Perform application analysis, identify project objectives, business context, and technical drivers, and design appropriate solutions. Interpret c4 model architecture diagrams, use case modeling, and align to project application flow. Leverage application and data services for hassle-free maintenance and fetching real time data. Develop key functionalities of build listener component, micro-app and micro-service using JavaScript, React JS, Node JS, TypeScript, Java, Spring, Linux, shell scripts, and Python. Configure deployment tools such as Kubernetes, Docker, AWS, ELK, terraform by adhering to CI/CD practices. Write database schemas and terraform scripts to deploy RDS MySQL database and configuring application to connect to database for data manipulation. Rewrite legacy batch jobs in Spring batch by mavenizing, migrating from Unix to Linux, and automating deployment process. Utilize various unit testing tools like Mockito, Jest, Kevlar for unit testing and integration testing. Improve code quality and maintain efficient quality gate metrics using static analysis tools like SonarQube. Engage with Product owner to translate business requirements into technical requirements. Provide feedback to junior developers during code reviews. Telecommuting permitted up to 3 days per week. Salary: $124,551- $213,850 per year.

Minimum Requirements: Master’s degree in information technology, computer science, software engineering, or a related field, plus 1 year (or a bachelor’s degree plus 5 years) of experience as a software engineer or in a related occupation. Experience must include 1 year with each of the following: (1) Java, JavaScript, .NET, and Python; (2) public cloud and associated technologies, including AWS, Azure, and containerization; (3) RDS, EC2, S3, ELK, ELB, and CloudWatch; (4) deployment tools including Kubernetes, Docker, Maven, Autosys, SonarQube, and Jenkins; (5) software methodologies including Scrum, Waterfall, Open Unified Process, Defining own Process Framework; and (6) Code versioning platforms GitLab and GitHub, and automated testing using Mockito, Jest, Kevlar, JMeter, and Jacoco.

Interested candidates send resume to [email protected]. Reference code 203 in the subject line.

Any wage range listed here supersedes corresponding wage ranges listed within the Pay Transparency Guide.

Grow your career with a best-in-class company that puts our client’s interests at the center of all we do. Get started now!

We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law.

If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please click here for additional information pertaining to compensation and benefits.

FIND YOUR FUTURE

We’re excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and commitment to diversity and inclusion.

  • Flexible work schedules
  • Concierge service
  • Comprehensive benefits
  • Employee resource groups

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Meta Logo
Production Engineering
Meta
City of New York, United States
$143,000 to $208,000 a year
June 2024

Job Description

Production Engineers at Meta are hybrid software/systems/infrastructure engineers who ensure that Meta’s services run smoothly and have the capacity for future growth. They are embedded across Meta’s product and infrastructure teams, and are core participants in significant engineering efforts underway in the company.Our team is composed of people with varied levels of experience and diverse backgrounds, from new grads to industry experts. Relevant industry experience is important (Software Engineer, Site Reliability Engineer (SRE), Systems Engineer,, DevOps Engineer, Network Engineer, or similar role), but ultimately less so than your demonstrated abilities and attitude. We sail into uncharted waters every day at Meta in Production Engineering, and we are always learning.This position is full-time.

Production Engineering Responsibilities:

  • Own back-end services which handle fleet management, front-end services such as WhatsApp / Instagram / Facebook / Meta Ads, infrastructure components that drive Meta’s advances in AI, core services which are used by every team at Meta, the world’s largest MySQL deployments, networking systems and everything in between
  • Write and review code, develop documentation and capacity plans, and debug the hardest problems, live, on some of the largest and most complex systems in the world
  • Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents
  • Partner alongside the best engineers in the industry working on the coolest stuff around, the code and systems you work on will be in production and used by billions of people all around the world

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 6+ years of experience in UNIX and TCP/IP network fundamentals
  • 6+ years of coding experience
  • Experience learning development languages (Python, C++, Rust, PHP/Hack, Go, Java)
  • Experience learning software, frameworks and APIs
  • Experience with Internet service architecture capacity planning and/or handling needs for urgent capacity augmentation
  • Knowledge of common web technologies and/or Internet service architectures (such as LAMP or MEAN stacks, CDN, Load Balancing techniques, etc.)
  • Experience configuring and running infrastructure level applications, such as Kubernetes, Terraform, MySQL, etc.

Preferred Qualifications:

  • BS or MS in Computer Science

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
Production Engineer
Meta
City of New York, United States
$105,000 to $173,000 a year
June 2024

Job Description

Production Engineers at Facebook are hybrid software/systems engineers who ensure that Facebook's services run smoothly and have the capacity for future growth. They are embedded in every one of Facebook's product and infrastructure teams and are core participants in every significant engineering effort underway in the company.Our team is comprised of varying levels of experience and backgrounds, from new grads to industry. Relevant industry experience is important (Site Reliability Engineer (SRE), Systems Engineer, Software Engineer, DevOps Engineer, Network Engineer, Systems Administrator, Linux Administrator, Database Administrator or similar role), but ultimately less so than your demonstrated abilities and attitude. We sail into uncharted waters every day at Facebook in Production Engineering, and we are always learning.This position is full-time.

Production Engineer Responsibilities:

  • Own back-end services like our Hadoop data warehouses, front-end services like Messenger and Newsfeed, infrastructure components like our Memcache infrastructure, and everything in between
  • Write and review code, develop documentation and capacity plans, and debug the hardest problems, live, on some of the largest and most complex systems in the world
  • Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents
  • Partner alongside the best engineers in the industry on the coolest stuff around, the code and systems you work on will be in production and used by billions of users all around the world

Minimum Qualifications:

  • 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.
  • Engineering degree, or a related technical discipline, or equivalent work experience
  • 2+ years experience with operating systems and TCP/IP network fundamentals
  • 2+ years experience coding in higher-level languages (e.g., PHP, Python, C++, or Java)
  • 2+ years experience in configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems and messaging systems
  • 2+ years experience learning software, frameworks and APIs

Preferred Qualifications:

  • BS or MS in Computer Science

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
Data Engineering Manager, Analytics
Meta
City of New York, United States
$173,000 to $242,000 a year
June 2024

Job Description

Do you want to use data to help drive the direction of products that impact the lives of over 1 billion people every day? If yes, we want to talk to you. We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.

The perfect candidate will have strong data infrastructure and data architecture skills, a proven track record of leading and scaling BI teams, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision for how BI can proactively improve companies.

Data Engineering Manager, Analytics Responsibilities:

  • Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
  • Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.
  • Build a high-quality BI and Data Warehousing team and design the team to scale.
  • Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
  • Manage data warehouse plans across a product vertical.
  • Drive the design, building, and launching of new data models and data pipelines in production.
  • Drive data quality across the product vertical and related business areas.
  • Manage the delivery of high impact dashboards and data visualizations.
  • Define and manage SLA’s for all data sets and processes running in production.

Minimum Qualifications:

  • 8+ years of experience in BI and Data Warehousing.
  • Experience scaling and managing 3+ person teams.
  • Communication and leadership experience, with experience initiating and driving projects.
  • Project management experience.
  • Data architecture experience.
  • Experience in SQL or similar languages.
  • Development experience in at least one object-oriented language (Python, Java, etc.).
  • BA/BS in Computer Science, Math, Physics, or other technical fields.

Preferred Qualifications:

  • Experience in a consumer web or mobile company.
  • Experience with data sets, Hadoop, and data visualization tools.
  • Advanced degree

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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Machine Learning Engineer - Bloomberg Law
Bloomberg
City of New York, United States
$165,000 to $260,000 a year
June 2024

Job Description

Bloomberg Law is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers! Our goal is to become an indispensable tool for legal professionals by supporting their day-to-day tasks and providing solutions that help them get real-time answers and better serve their clients.

Within Bloomberg Law (BLAW), the BLAW Machine Learning Team is the central machine learning engineering team with 10 machine learning engineers working with groundbreaking technologies to build data-driven customer-facing products using Natural language processing (NLP), Information extraction (IE) and Machine Learning (ML) techniques such as named entity disambiguation, text classification, clustering and topical modeling, text summarization and personalized recommendations. Our current focus is on legal research and contract drafting tools designed to speed up those tasks for legal professionals by letting AI do the heavy-lifting. These tools let users upload a document, then automatically classify it, structure its contents and analyze the text by identifying topics, extracting entities and suggesting other relevant documents. Some of the specific problems we are working on this year include summarizing legal content, extracting case outcomes from court dockets or data mined from legal contracts. To solve these, we use both traditional methods as well as techniques such as attention-based deep neural networks, deep language models. We work closely with product managers, software engineers and legal domain experts using agile development.

In general Machine Learning projects have an intrinsic dose of uncertainty, so a good fit for our team is a person who is self-motivated, proactive, comfortable dealing with uncertainty and ambiguity in task definition. We're a highly collaborative team, both internally and across other teams, so being a teammate and an effective communicator are important for success in our team.

What's in it for you:

As part of our team, you will be developing machine learning (ML) models to our business needs. You will drive, design and develop machine learning solutions. A right combination of cross-field ML techniques, deep understanding of the business problem and high-quality training data is fundamental to our models producing high quality models for our client's needs. You will collaborate with product managers and legal domain experts to understand business problems and map them to ML problems. You will research groundbreaking ML/NLP techniques and apply them to our business problems. You will collaborate with legal domain experts to gain valuable insights and use their legal expertise to get high quality annotated training data. You will closely be working with product owners, legal data analysts (our domain experts), data engineers and front-end engineers to build and integrate ML solutions to our product.

Legal AI is an exciting and rapidly evolving field. If you are interested in working with a highly collaborative team to develop innovative solutions and make a big impact, please apply!

We'll trust you to: * Drive, design & develop ML projects as the principal point-of-contact * Collaborate with domain experts and product managers to understand business needs and map business problems to ML Problems * Learn groundbreaking research in advanced ML & NLP topics and design ML/AI solutions for the problems * Develop tailored ML/AI prediction models for legal domain * Use metrics to make data-driven decisions * Write and maintain production-quality code * Collaborate with AI platform engineers on model maintenance and rollout * Manage stakeholders' expectations throughout the project on model development and release

You'll need to have: * 4+ years of experience with an object-oriented programming language such as Java or Python * Subject matter expertise in one or more of the following: Artificial Intelligence (AI), Natural language Processing (NLP), Machine Learning (ML), Statistical Models, and Text Analytics on large data sets * Experience in all phases of machine learning application lifecycles from problem mapping and scoping to data gathering and preparation to optimizing model performance * Master's or PhD in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience

We'd love to see: * Knowledge of advanced concepts such as weakly supervised learning, reinforcement learning and active learning * Exposure to modern deep learning frameworks such as PyTorch or TensorFlow * Authored research publications, participation in ML competitions, working demos/repos * Experience with distributed computational frameworks (YARN, Spark, Hadoop, Kubernetes, Docker) * Enthusiasm to learn more about the legal domain (prior experience with legal is not required)

Bloomberg is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [email protected].

Salary Range: 165,000 - 260,000 USD Annually + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.


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Bloomberg Logo
Senior Data Engineer - Artificial Intelligence Group
Bloomberg
City of New York, United States
$160,000 to $240,000 a year
June 2024

Job Description

Bloomberg's Engineering AI department has 300+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.

At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.

Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.

We are looking for skilled Senior Data Engineers to join our team if you have a strong background in software development and a passion for data science. You will work with us on building technologies and tools to ensure the correctness of our search datasets, to protect our clients' personally identifiable information, and to enable key stakeholders to derive insights for the purposes of informing their decisions on the future development of Bloomberg's Search products.

Join the AI Group as a Senior Data Engineer and you will have the opportunity to:

  • Develop and maintain a productionized logging system that produces verifiably correct datasets to support both online Business Intelligence applications as well as offline ML Model training and evaluation pipelines.
  • Implement reusable, efficient, maintainable, and testable code that works on different platforms and scales to billions of data points for the purposes of sessionization, ingestion, and metrics computation.
  • Work with application and product teams to define data needs and SLAs, then implement a data model using idiomatic schema designs tailored to the dataset's intended use case.
  • Design and implement metrics measuring various aspects of the Bloomberg search experience and create Business Intelligence dashboards to help subject matter experts continuously monitor quality, extract actionable insights, and identify new feature development opportunities.

We are looking for a Senior Data Engineer with:* 4+ years of experience working with Python and at least one other object-oriented programming language (C/C++, Java, etc.). * A degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience. * An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving. * Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders. * A proven track record building ETL pipelines leveraging technologies such as Kafka Streams, Kafka Connect, Flink, or Spark Streaming. * Prior experience building or extending data lakes, using various storage, cataloging, and retrieval technologies such as S3, HDFS, Hadoop, HBase, Hive, Trino, Presto, Cassandra, Spark. * Familiarity with workflow orchestration technology, such as Argo, Airflow, or Oozie.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [email protected] (Americas), [email protected] (Europe, the Middle East and Africa), or [email protected] (Asia-Pacific), based on the region you are submitting an application for.

We give back to the technology community and you can read more about our outreach at: http://www.techatbloomberg.com/ai

Salary Range: 160,000 - 240,000 USD Annually + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.


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