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Meta Machine Learning Jobs (NOW HIRING)

Meta

Product Manager, Machine Learning

Seattle, WA

$146K/yr

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

Meta

Software Engineer, Machine Learning

Sunnyvale, CA · On-site +1

$184K/yr

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

Software Engineer, Machine Learning

Seattle, WA

$184K/yr

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

Software Engineer, Machine Learning

Fremont, CA

$184K/yr

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

Software Engineer, Machine Learning

Bellevue, WA

$184K/yr

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

Software Engineer, Machine Learning

New York, NY

$184K/yr

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 ...

GPTZero

Machine Learning Intern

New York, NY · On-site

Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm ... What we're looking for At GPTZero, we ensure that machine learning models are created for the ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

... 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 ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

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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How much do meta machine learning jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for 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 a Meta Machine Learning job?

A Meta Machine Learning job typically involves developing and optimizing machine learning models at scale, often within Meta (formerly Facebook). These roles focus on improving AI algorithms, researching new techniques, and deploying models across products like Facebook, Instagram, and WhatsApp. Engineers and researchers in this field work with large datasets, deep learning frameworks, and distributed computing. The role requires expertise in machine learning, software engineering, and data science to enhance Meta's AI-driven capabilities.

What are the key skills and qualifications needed to thrive in the Meta Machine Learning position, and why are they important?

To thrive in Meta Machine Learning, you need a deep understanding of advanced machine learning algorithms, meta-learning techniques, data science, and a degree in computer science or a related field. Experience with tools like Python, TensorFlow, PyTorch, as well as familiarity with cloud computing platforms and relevant certifications (such as AWS Certified Machine Learning Specialty) are highly valuable. Strong analytical thinking, creative problem-solving, and collaborative communication are essential soft skills for excelling in this area. These competencies enable practitioners to develop and optimize meta-learning models, drive innovation, and efficiently work in cross-functional tech teams.

What are some of the main challenges faced in a Meta Machine Learning role?

Professionals in Meta Machine Learning often encounter challenges such as working with limited labeled data, creating models that generalize well across diverse tasks, and optimizing algorithms to learn efficiently from smaller datasets. The fast-paced nature of research and the need to stay updated with cutting-edge advancements in the field can also require continual learning and adaptation. Collaboration with other data scientists, engineers, and domain experts is common, making teamwork and clear communication critical for successful project delivery. Overcoming these challenges not only sharpens technical skills but also offers rewarding opportunities for innovation and career growth in this evolving field.
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Meta Machine Learning jobs near you
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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