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Meta Engineering Jobs in California (NOW HIRING)

Meta

Lead, Product Content Engineering

Menlo Park, CA

$193K/yr

Meta's Product Content Engineering team is responsible for the content experiences across platforms and products. PCE works in close partnership with engineering, product, and partnerships teams to ...

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

Burlingame, 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

$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

Security Engineer

Menlo Park, CA

$271K/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

Software Systems Engineer

Fremont, CA

$144K/yr

... engineering, data center operations, and platform teams to ensure Meta's production systems operate at scale. Software Systems Engineer Responsibilities: * Design and develop systems software for ...

Meta

Partner Engineer, Connected TV

Menlo Park, CA

$149K/yr

Partner Engineering is a highly technical team that works with our strategic partners to integrate Meta products into their platforms, apps, devices, Connected TVs as well as our VR/AR platforms.

Meta

Software Engineer, Systems ML

Menlo Park, CA

$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

Computer Vision Engineer

Burlingame, CA

$183K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role bridges research and production--you'll take ML ...

Meta

EMC Design Engineer

Sunnyvale, CA

$173K/yr

Master's or PhD in Electrical Engineering, Physics, Mathematics, or related field (or equivalent experience) About Meta: Meta builds technologies that help people connect, find communities, and grow ...

Meta

Leased Facility Engineer

Santa Clara, CA

$104K/yr

The Leased Facility Engineer (LFE) is a key onsite role within Meta's Global Leased Facility Operations team, responsible for maintaining and protecting Meta's infrastructure in leased data center ...

Meta

Software Engineer, Systems ML

Menlo Park, CA · On-site +1

$154K/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 ...

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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.

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.
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Meta Engineering jobs near you
Software Engineer, Systems ML Engineering

Software Engineer, Systems ML Engineering

Meta

Sunnyvale, CA • On-site, Remote

$183K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

Meta is seeking a Staff Software Engineer to join the Systems ML Engineering team, focused on building and scaling the infrastructure and software systems that power large-scale machine learning workloads across Meta's production fleet. In this role, you will architect and own critical components of the ML systems stack, spanning training infrastructure, model serving, distributed computing frameworks, and ML platform tooling. You will work at the intersection of systems engineering and machine learning to drive reliability, performance, and efficiency for some of the world's most demanding AI workloads, including large language models and generative AI systems.
Software Engineer, Systems ML Engineering Responsibilities:
  • Design and implement scalable ML systems infrastructure components, including distributed training frameworks, model serving pipelines, and ML platform tooling used across Meta's production AI workloads
  • Lead technical design and architecture for major initiatives in the ML systems stack, evaluating trade-offs across performance, reliability, and engineering complexity
  • Identify and resolve performance bottlenecks in distributed ML training and inference systems through instrumentation, profiling, and targeted optimization
  • Define and drive service level objectives for ML infrastructure services, building dashboards, alerting, and runbooks to reduce mean time to mitigation during incidents
  • Collaborate with machine learning researchers, product engineers, and infrastructure teams to translate model development requirements into robust, production-grade systems
  • Leverage AI-assisted development workflows to accelerate implementation, code review, and system analysis, applying sound judgment on when to rely on AI tooling versus deep domain expertise
  • Mentor other engineers on ML systems best practices, distributed computing patterns, and engineering craft, including AI-native development workflows
  • Drive adoption of engineering standards across the team, including testing strategies, staged rollout practices using feature flagging and experimentation frameworks, and proactive monitoring
  • Contribute to roadmap definition and stakeholder alignment for multi-quarter ML infrastructure investments, communicating technical options and trade-offs to both engineering and cross-functional audiences
  • Conduct thorough code reviews and establish coding standards that improve maintainability and scalability of the ML systems codebase

Minimum Qualifications:
  • 8+ years of experience in software engineering with a focus on systems software, distributed computing, or ML infrastructure
  • Experience designing and implementing large-scale distributed systems, including components such as training orchestration, model serving, or data pipeline infrastructure
  • Experience with performance analysis and optimization of compute-intensive or distributed workloads, including profiling, benchmarking, and bottleneck identification
  • Experience leading end-to-end delivery of complex technical projects, including cross-team coordination, milestone planning, and risk mitigation
  • Experience with C++, Python, or equivalent systems programming languages applied to production ML or infrastructure systems

Preferred Qualifications:
  • Experience contributing to or maintaining open-source ML systems or distributed computing projects
  • Experience building or operating ML platform services including experiment tracking, model registries, feature stores, or inference serving infrastructure
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with ML frameworks such as PyTorch, including distributed training paradigms such as data parallelism, model parallelism, or pipeline parallelism
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with GPU computing, CUDA programming, or accelerator-aware systems optimization for large-scale AI workloads

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.
$183,997/year to $257,000/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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