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Facebook Machine Learning Jobs (NOW HIRING)

Facebook App

Product Manager (Leadership)

Bellevue, WA

$249K/yr

Together, we are committed to building innovative technologies -- Facebook, Instagram, Messenger ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Meta

Computer Vision Engineer, Reality Labs

Redmond, WA

$154K/yr

With global departments dedicated to research and development in computer vision, machine learning ... These include Oculus products, Facebook Glasses and Family of Apps (Facebook, Instagram, Messenger ...

Facebook App

Product Manager (Leadership)

New York, NY

$249K/yr

Together, we are committed to building innovative technologies -- Facebook, Instagram, Messenger ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Meta

Computer Vision Engineer

Seattle, WA

$183K/yr

... machine learning, haptics, social interaction, and more. RL is committed to driving the ... These include Quest products, Meta Glasses and Family of Apps (Facebook, Instagram, Messenger ...

New

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

... machine learning, haptics, social interaction, and more. RL is committed to driving the ... These include Quest products, Meta Glasses and Family of Apps (Facebook, Instagram, Messenger ...

New

Meta

Computer Vision Engineer

Sunnyvale, CA

$183K/yr

... machine learning, haptics, social interaction, and more. RL is committed to driving the ... These include Quest products, Meta Glasses and Family of Apps (Facebook, Instagram, Messenger ...

New

Brilent

Senior Data Scientist

San Mateo, CA · On-site

Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. We are looking for exceptional people to ...

Brilent

Software Engineer Intern

San Mateo, CA · On-site

Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. As a software engineering intern, you ...

Facebook App

Product Manager (Leadership)

$249K/yr

Together, we are committed to building innovative technologies -- Facebook, Instagram, Messenger ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Meta

Computer Vision Engineer, Reality Labs

Redmond, WA · On-site

$154K - $217K/yr

With global departments dedicated to research and development in computer vision, machine learning ... These include Oculus products, Facebook Glasses and Family of Apps (Facebook, Instagram, Messenger ...

Erth.AI Inc.

Research Engineer

San Francisco, CA · On-site

$120K - $200K/yr

We are actively seeking a Research Engineer specializing in Machine Learning and AI to play a ... Founded by seasoned industry veterans and serial entrepreneurs with expertise from Zynga, Facebook ...

Erth.AI Inc.

Research Engineer

San Francisco, CA · On-site

$120K - $200K/yr

We are actively seeking a Research Engineer specializing in Machine Learning and AI to play a ... Founded by seasoned industry veterans and serial entrepreneurs with expertise from Zynga, Facebook ...

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All JobsFacebook Machine Learning Jobs

Facebook Machine Learning information

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$14

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How much do facebook machine learning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for facebook machine learning in the United States is $21.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $22.84 per hour, depending on experience, location, and employer.

What is the difference between Facebook Machine Learning vs Data Scientist?

AspectFacebook Machine LearningData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; experience with ML frameworksDegree in Statistics, Mathematics, Computer Science, or related fields; strong analytical skills
Work EnvironmentTech company, collaborative teams, focus on ML models and algorithmsVaried industries, data analysis, reporting, and insights generation
Employer & Industry UsagePrimarily in tech companies like Facebook, focusing on AI/ML productsAcross industries including tech, finance, healthcare, focusing on data analysis

Facebook Machine Learning specialists focus on developing and deploying machine learning models within Facebook's infrastructure, requiring strong programming and ML skills. Data Scientists analyze data to generate insights, often using statistical methods. While both roles require a background in data or computer science, Facebook Machine Learning roles are more technical and model-focused, whereas Data Scientists emphasize data analysis and interpretation.

What does a Facebook Machine Learning Engineer do?

A Facebook Machine Learning Engineer designs, builds, and deploys artificial intelligence models that power various features and products across Meta's platforms, such as Facebook, Instagram, and WhatsApp. Their work involves data preprocessing, model selection, training, evaluation, and optimization to improve user experiences like content recommendations, spam detection, and ad targeting. They also collaborate with product managers, researchers, and software engineers to integrate these models into scalable systems. The role requires strong programming skills, knowledge of machine learning algorithms, and experience with large-scale data processing.

What are the key skills and qualifications needed to thrive as a Facebook Machine Learning Engineer, and why are they important?

To thrive as a Facebook Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, usually backed by a relevant degree and experience in large-scale data analysis. Proficiency in Python, C++, TensorFlow or PyTorch, and experience with distributed computing systems are typically required. Strong problem-solving skills, collaboration, and effective communication help you work cross-functionally and drive innovative solutions. These skills enable the rapid development and deployment of impactful machine learning models at scale, which is crucial for Facebook's data-driven products and services.

How does a Facebook Machine Learning Engineer typically collaborate with product teams to deploy models into production?

As a Facebook Machine Learning Engineer, you will work closely with product managers, software engineers, and data scientists to integrate machine learning solutions into real-world products. This often involves participating in cross-functional meetings to understand product requirements, iterating on model prototypes, and ensuring smooth deployment and monitoring of models in production. Collaboration is key, as you will need to communicate technical insights to non-technical stakeholders and incorporate feedback to improve model performance. This dynamic environment provides opportunities to learn from experts across multiple domains and contribute directly to impactful, large-scale products.
More about Facebook Machine Learning jobs
What job categories do people searching Facebook Machine Learning jobs look for? The top searched job categories for Facebook Machine Learning jobs are:
Facebook Machine Learning jobs near you
Infographic showing various Facebook Machine Learning job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 75% Full Time, 14% Part Time, 1% Temporary, and 8% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.
System Safety Engineer, Humanoid Robotics

System Safety Engineer, Humanoid Robotics

Facebook App

Burlingame, CA

$208K/yr

Full-time

Re-posted 18 days ago

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

We are seeking a and experienced System Safety Engineer to join our growing team. In this critical role, you will be responsible for ensuring the safety of our humanoid robot systems throughout their entire lifecycle, from initial concept to deployment and operation. You will play a pivotal role in shaping the safety systems for our robots, ensuring that they meet applicable standards of safety and reliability. This position requires a deep understanding of safety-critical systems, robotics, and relevant safety standards.
System Safety Engineer, Humanoid Robotics Responsibilities:
  • Lead the safety lifecycle for the humanoid robot platform from concept through production and deployment
  • Perform qualitative and quantitative system analyses, including performance and reliability, HARA, FMEA, FTA at the system, subsystem, and component levels to satisfy the required Safety Integrity Level of the product
  • Define safety concepts and requirements to support risk reduction measures
  • Define, manage and ensure full traceability of system requirements, aligning with product safety and robot safety standards
  • Ensure that systems and subsystems' designs meet robot safety, functional safety, and product safety requirements
  • Manage safety requirements across the entire robot platform using requirement management tools
  • Work closely with product design, mechanical, electrical, and software engineering teams to embed safety into the core design
  • Ensure compliance with relevant industry standards (e.g., IEC 61508, ISO 13485, ISO 10218) and interface with external regulatory and certification bodies

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor’s degree or higher in Engineering, Computer Science, Robotics, Mechatronics, or a related field
  • A minimum of 7+ years of experience in safety engineering, with experience delivering complex, safety-critical products (e.g., in robotics, autonomous vehicles, aerospace or industrial automation)
  • Experience leading and executing HARA, FMEA, FTA, and reliability analysis for complex electro-mechanical, software-driven systems
  • Demonstrated ability to translate safety standards into clear, concise, and testable system requirements
  • Working knowledge of functional safety standards (e.g., IEC 61508, IEC 62061, ISO 13849 or ISO 26262)
  • Working knowledge of robotics safety standards (e.g., ISO 13482, ISO 10218, and ISO/TS 15066.)
  • Demonstrated ability to use requirements management tools (e.g., Polarion, DOORS, Jama)

Preferred Qualifications:
  • Knowledge of AI and functional safety standards, including ISO/IEC TS 22440 series or PAS 8800
  • 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)
  • Understanding of hardware and software development, including developing safety-critical software in Rust and C++
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Successfully certified a robotic system to Safety Integrity Level 3 (SIL3) or an autonomous vehicle (AV) to Automotive Safety Integrity Level D (ASIL-D)
  • Experience dealing with the safety implications of machine learning, computer vision, and autonomous decision-making systems

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.
$208,000/year to $289,000/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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