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Meta Engineering Jobs in California (NOW HIRING)

Meta

Production Engineering

Menlo Park, CA · On-site

$154K/yr

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services, forming the backbone of every major ...

Meta

Production Engineering

Fremont, CA · On-site

$154K/yr

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services, forming the backbone of every major ...

Meta

Production Engineering

Menlo Park, CA · On-site

$154K - $217K/yr

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services, forming the backbone of every major ...

Meta

Production Engineering

Fremont, CA

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services.

Meta

Production Engineering

Menlo Park, CA · On-site

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services.

Meta

Production Engineering

Fremont, CA

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services.

Meta

Director, Data Engineering

Menlo Park, CA · On-site

$253K/yr

You'll be one of the analytics leaders for how Meta transforms its Enterprise through AI. This is a ... We are open to hiring Data Science or Data Engineering profiles. In our world, both are Analytics.

Meta

Creative Director, Meta.com

Menlo Park, CA

$177K/yr

Meta is seeking a Creative Director to lead brand expression and visual strategy for meta.com, our ... Collaborate with product and engineering teams to identify opportunities for product enhancements ...

Meta

Production Engineer

Menlo Park, CA

$219K/yr

In Production Engineering at Meta, we navigate uncharted waters daily -- solving problems at a scale few others face. Production Engineer Responsibilities: * Own back-end services which handle fleet ...

Meta

Production Engineer

Menlo Park, CA

$184K/yr

In Production Engineering at Meta, we navigate uncharted waters daily -- solving problems at a scale few others face. Production Engineer Responsibilities: * Own back-end services which handle fleet ...

Meta

Production Engineer

Menlo Park, CA · On-site

$184K - $257K/yr

In Production Engineering at Meta, we navigate uncharted waters daily - solving problems at a scale few others face. Responsibilities Own back-end services which handle fleet management, front-end ...

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Meta Engineering information

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.

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 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.
What are popular job titles related to Meta Engineering jobs in California? For Meta Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Meta Engineering jobs in California look for? The top searched job categories for Meta Engineering jobs in California are:
What cities in California are hiring for Meta Engineering jobs? Cities in California with the most Meta Engineering job openings:
Meta Engineering jobs near you
Infographic showing various Meta Engineering job openings in California as of May 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 96% Physical, and 4% Hybrid job distribution.
Data Scientist, Evaluations - Meta Superintelligence Labs

Data Scientist, Evaluations - Meta Superintelligence Labs

Meta

Menlo Park, CA

$177K/yr

Full-time

Posted 26 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

118th of 183 rated software companies

Job description

Meta is seeking a Data Scientist to join the Evaluations team within Meta Superintelligence Labs (MSL). 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 Data Scientist on this team, you will be responsible for the scientific rigor behind our frontier AI benchmarks. You will work in tandem with world-class Research Scientists and Engineers to design, validate, and analyze novel evaluations that shape the future of AI capability measurement.This role is for a technical Data Science expert who can bridge the gap between abstract model capabilities and rigorous, unbiased measurement. You will lead the charge on sampling strategies for various AI tasks, critically examine benchmark quality and validity, and perform deep-dive analysis on current frontier models’ failures and limitations. You will have the opportunity to conduct novel research, think creatively about measurement in uncharted territories, and contribute to the global AI community.
Data Scientist, Evaluations - Meta Superintelligence Labs Responsibilities:
  • Scientific Design & Validity: Lead the design of evaluation stimuli and benchmarks, ensuring they have minimal bias and high construct validity for frontier LLM capabilities
  • Experimental Methodology: Design and execute effective sampling strategies and experimental frameworks to measure model performance and errors accurately
  • Deep-Dive Analysis: Perform rigorous data and model error analyses to provide deep insights into model behavior, quality gaps, and failure modes
  • Collaborative Research: Partner closely with Research Scientists and Engineers to translate organizational priorities into measurable, scientifically sound benchmarks
  • External Impact: Drive the publication of novel evaluation research and the open-sourcing of benchmarks to influence the broader AI research community
  • Strategic Influence: Use data-driven insights to influence research directions and major model development lines within MSL

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
  • A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

Preferred Qualifications:
  • Advanced Quantitative Background: Master’s or Ph.D. in a quantitative or experimentation-heavy field (e.g., Statistics, Psychology, Economics, Quantitative Social Sciences, or a related technical field)
  • Publication Record: Publications at top-tier peer-reviewed venues (e.g., NeurIPS, ICML, ICLR, ACL, or field-specific journals) related to measurement, evaluation, or experimental design
  • Evaluation Expertise: Recognized expertise in language model evaluation, psychometrics, or the science of benchmarking
  • Open Source & Community: A track record of open-source contributions to evaluation tools, datasets, or benchmarks
  • Domain Knowledge: Familiarity with language model post-training, RLHF, or the nuances of LLM failure modes
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • 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 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.
$177,000/year to $247,000/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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