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Meta Engineering Jobs in Secaucus, NJ (NOW HIRING)

Meta

Data Engineer, Product Analytics

New York, NY · On-site

$114K/yr

By joining Meta, you will become part of a data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by ...

Meta

Research Engineer, Monetization AI

New York, NY

$183K/yr

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies About Meta: Meta builds technologies that help ...

Meta

Security Engineer

New York, NY

Meta's Cross-Meta Security organization is seeking a distinguished Security Engineer to operate at the highest level of technical leadership across the

Meta

Data Engineer, Product Analytics

New York, NY · On-site +1

$177K/yr

By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide ...

Meta

Business Engineer, Business Agents

New York, NY · Remote

$149K/yr

You will deliver scalable production-grade code across Meta's platforms in collaboration with other product engineering teams. You will get to learn and build on different tech stacks and languages ...

Meta

Production Network Engineer

New York, NY

$162K/yr

The Production Network Engineering team is responsible for the design, deployment, operation, and continuous improvement of Meta's large-scale production network -- spanning data centers, edge points ...

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All JobsMeta Engineering JobsMeta Engineering Jobs in Secaucus, NJ

Meta Engineering information

See Secaucus, NJ salary details

$47.3K

$149.3K

$176.9K

How much do meta engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for meta engineering in Secaucus, NJ is $149,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $175,900.00 per year, depending on experience, location, and employer.

What is meta engineering?

Meta Engineering typically refers to the engineering teams at Meta (formerly Facebook), responsible for building and maintaining the infrastructure, tools, and systems that support Meta’s products and services. These engineers work on a wide range of projects, including large-scale distributed systems, data infrastructure, artificial intelligence, and developer tools. Meta Engineering teams play a crucial role in ensuring the reliability, performance, and scalability of platforms like Facebook, Instagram, WhatsApp, and Oculus. Their work enables the company to deliver innovative products and seamless experiences to billions of users worldwide.

How does a meta engineer typically collaborate with cross-functional teams to deliver scalable solutions?

Meta Engineers frequently work alongside product managers, designers, data scientists, and other engineers to architect and deploy scalable systems. This collaboration involves participating in agile sprints, code reviews, and technical design discussions to ensure alignment with business goals. Effective communication and a strong understanding of both backend and frontend technologies are key, as Meta Engineers often bridge gaps between various technical domains. Regular collaboration ensures that solutions are robust, user-centric, and can handle Meta's global scale.

What are the key skills and qualifications needed to thrive as a meta engineer, and why are they important?

To thrive as a Meta Engineer, you typically need strong programming skills, a deep understanding of computer science principles, and a relevant degree in fields like computer science or engineering. Familiarity with large-scale distributed systems, cloud platforms, and proficiency in languages such as Python, Java, or C++—as well as experience with internal Meta tools—are often expected. Problem-solving, collaboration, and effective communication are crucial soft skills for working on complex projects and across teams. These skills enable Meta Engineers to build scalable solutions, innovate efficiently, and contribute to the technological advancement of the company.

What does a Meta engineering do?

Meta engineering typically involves designing, developing, and maintaining software systems and infrastructure for Meta platforms, such as Facebook and Instagram. Engineers in this role work with programming languages, data structures, and cloud tools to improve platform performance, security, and user experience. Strong coding skills and knowledge of system architecture are essential for this position.

What job categories do people searching Meta Engineering jobs in Secaucus, NJ look for?

The top searched job categories for Meta Engineering jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Meta Engineering jobs?

Cities near Secaucus, NJ with the most Meta Engineering job openings:

Meta Engineering jobs near you
Infographic showing various Meta Engineering job openings in Secaucus, NJ as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $149,318 per year, or $71.8 per hour.

Research Engineer - MSL FAIR Foundations

Meta

New York, NY

$154K/yr

Full-time

Re-posted 14 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Meta is seeking Research Engineers to join the Evaluations team within Meta Superintelligence Labs. Evaluations are the core of AI progress at MSL, determining what capabilities get built, which features get prioritized, and how fast our models improve. As a Research Engineer on this team, you will curate and build the benchmarks for our most advanced AI models, across text, vision, audio, and beyond. You'll work alongside world-class researchers and engineers to collect, develop, and deploy novel benchmarks and reinforcement learning environments.This is a highly technical role requiring solid research engineering skills and the ability to work independently on a variety of open-ended machine learning challenges with high reliability. The evaluations you build will directly impact the research direction and major model lines within MSL, making engineering reliability, rigor, and scalability paramount. You will excel by maintaining high velocity while adapting to rapidly shifting priorities as we advance the technical research frontier. You'll need to be flexible and adaptive, tackling a wide variety of problems in the evaluations space, from implementing existing benchmarks to developing novel benchmarks and environments to implementing evaluation tooling at scale.If you are passionate about defining the capabilities that drive AI progress and thrive in fast-paced, high-impact research environments, we encourage you to apply for this exciting opportunity at the core of MSL.
Research Engineer - MSL FAIR Foundations Responsibilities:
  • Curate and integrate publicly available and internal benchmarks to direct the capabilities of frontier model development
  • Develop and implement evaluation environments, including environments for novel model capabilities and modalities
  • Collaborate with external data vendors to source and prepare high-quality evaluation datasets
  • Execute on the technical vision of research scientists designing new benchmarks and evaluations
  • Build robust, reusable evaluation pipelines that scale across multiple model lines and product areas
  • Contribute to evaluation tooling that measures the quality and reliability of evaluation suites

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 3+ years of experience in machine learning engineering, machine learning research, or a related technical role
  • Proficiency in Python and experience with ML frameworks such as PyTorch
  • Experience identifying, designing and completing medium to large technical features independently, without guidance
  • Demonstrated experience in software engineering practices including version control, testing, and code review practices
  • Ability to work independently and adapt to rapidly changing priorities

Preferred Qualifications:
  • Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model evaluation, benchmarking, or deep learning
  • Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments
  • Experience implementing or developing evaluation benchmarks for large language models and multimodal models (e.g., vision-language, audio, video)
  • Experience working with large-scale distributed systems and data pipelines
  • Familiarity with language model evaluation frameworks and metrics
  • Track record of open-source contributions to ML evaluation tools or benchmarks

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 accommodations-ext@meta.com.
$154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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