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Full Time Meta Machine Learning Jobs (NOW HIRING)

Product Manager, Machine Learning Responsibilities: * Plan, initiate, and manage information ... Meta builds technologies that help people connect, find communities, and grow businesses. When ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

... Meta, LinkedIn, Coinbase, Square, and Goldman Sachs. Hang raised a $16 million Series A led by ... This person will implement and develop machine learning models to enhance our platform ...

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Fine-tune large language models (LLMs) and implement meta-learning methods to enhance model ...

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Full Time Meta Machine Learning information

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How much do full time meta machine learning jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for full time meta 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 Full Time Meta Machine Learning vs Data Scientist?

AspectFull Time Meta Machine LearningData Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related fields; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentTech company, collaborative teams, focus on ML modelsVaried industries, research or business focus, data analysis
Industry UsagePrimarily in tech giants like Meta, Google, focus on AI/ML productsAcross industries including tech, finance, healthcare, often in analytics roles

Full Time Meta Machine Learning roles focus on developing and deploying machine learning models within Meta's ecosystem, requiring specialized ML skills. Data Scientists analyze data to generate insights, often using statistical methods. While both roles involve data and algorithms, Meta Machine Learning positions are more specialized in AI/ML model development, whereas Data Scientists focus on data analysis and interpretation across various industries.

More about Full Time Meta Machine Learning jobs
What cities are hiring for Full Time Meta Machine Learning jobs? Cities with the most Full Time Meta Machine Learning job openings:
What are the most commonly searched types of Meta Machine Learning jobs? The most popular types of Meta Machine Learning jobs are:
Product Manager, Machine Learning

Product Manager, Machine Learning

Meta

Seattle, WA

$146K/yr

Full-time

Posted 28 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

117th of 184 rated software companies


Job description

In this role, you will develop and execute a strategy to enhance Ad supply personalization on FB App. You will spearhead innovative approaches to predict user engagement and optimize ad value, significantly boosting the efficiency and accuracy of our ad supply system.
Product Manager, Machine Learning Responsibilities:
  • Plan, initiate, and manage information technology projects for web-based products and platforms
  • Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products
  • Drive product development with teams of world-class engineers and designers, while maintaining team health
  • Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
  • Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction
  • Define and analyze metrics that inform the success of products. Identify and track key performance metrics
  • Understand Facebook’s strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
  • Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm

Minimum Qualifications:
  • 5+ years product management or related industry experience
  • Product management or related industry experience in one of the following areas: Machine Learning based personalization, ranking or recommendations services, or ad-tech
  • Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
  • Experience product management or product design
  • Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
  • Experience delivering technical presentations
  • Experience analyzing complex, large-scale data sets and making decisions based on data
  • Experience gathering requirements across diverse areas and users, and converting and developing them into a product solution
  • Technical experience with analytical tools, methodologies, and design
  • Displaying leadership, organizational and execution skills
  • Proven communication skills

Preferred Qualifications:
  • 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.
$146,000/year to $204,000/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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