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Meta Machine Learning Jobs in Washington (NOW HIRING)

Meta

GenAI Product Policy Manager

Washington, DC

$122K/yr

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 ...

Meta

Software Developer, GO Systems

Washington, DC · Remote

$171K/yr

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 ...

AstraZeneca

Agentic AI Scientist

Gaithersburg, MD · On-site

Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI. When we put ...

AstraZeneca

Agentic AI Scientist

Gaithersburg, MD · On-site

Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI. When we put ...

AstraZeneca

Agentic AI Scientist

Gaithersburg, MD

Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI. When we put ...

Facebook App

Product Manager

Washington, DC

$205K/yr

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 ...

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How much do meta machine learning jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for meta machine learning in Washington is $24.16, according to ZipRecruiter salary data. Most workers in this role earn between $21.25 and $25.87 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.

What are the most commonly searched types of Meta Machine Learning jobs in Washington? The most popular types of Meta Machine Learning jobs in Washington are:
What are popular job titles related to Meta Machine Learning jobs in Washington? For Meta Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Meta Machine Learning jobs in Washington look for? The top searched job categories for Meta Machine Learning jobs in Washington are:
What cities in Washington are hiring for Meta Machine Learning jobs? Cities in Washington with the most Meta Machine Learning job openings:
Meta Machine Learning jobs near you
Infographic showing various Meta Machine Learning job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $50,246 per year, or $24.2 per hour.
GenAI Product Policy Manager

GenAI Product Policy Manager

Meta

Washington, DC

$122K/yr

Full-time

Posted 28 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

140th of 215 rated software companies

Job description

Meta is seeking a product-focused strategist to join its Product Policy & Strategy team as a Product Policy Manager. In this role, you will provide direct policy counsel to product and engineering teams as they launch new multi-modal GenAI products and features. You’ll achieve this by collaborating with a range of cross-functional stakeholders, including policy, product, legal, communications, design, and marketing teams.Successful candidates will have expertise in AI technologies and tech policy, with an understanding of the AI policy and regulatory landscape, including industry trends. They will also thrive in a fast-paced environment and share our vision of building the future of human connection through transformative technology.
GenAI Product Policy Manager Responsibilities:
  • Provide policy guidance that protects and promotes free expression in GenAI products/features, while minimizing business risks and ensuring compliance with evolving regulatory and policy environments
  • Develop and implement forward-thinking policies to govern multi-modal GenAI products and features
  • Create clear risk assessments and build scalable frameworks to operationalize a consistent set of mitigations across a broad range of products
  • Work with software engineers, designers, lawyers, product managers, and others to help product teams address policy, legal, engineering, user interface, business, and marketing considerations
  • Act as an escalation point of contact and manage internal communications for policy issues

Minimum Qualifications:
  • Bachelor's degree in political science, policy, law, communications, computer science or related field
  • 4+ years of experience working in public policy, policy enforcement, law, government, national security, law enforcement, product design, product management or related field
  • Understanding of AI policy and technology policy, including key stakeholders, research initiatives, and relevant industry trends
  • Experience working autonomously and cross-functionally to develop policies and apply analytical thinking to solve ambiguous, complex problems
  • Experience with consensus building in a highly matrixed environment

Preferred Qualifications:
  • 8+ years of experience and a Master’s degree or PhD in political science, policy, law, computer science or related field
  • Experience developing policies for governing multi-modal (image, video, audio) generative AI products
  • Possess communication skills with demonstrated experience communicating with product managers, engineers, researchers, and executives
  • Proficiency in crafting formal policy documentation for a wide-ranging audience
  • Experience advising on AI technologies and other online products and platforms in a product policy role
  • Experience dealing with escalations
  • Experience articulating policies and their reasoning to various audiences effectively
  • Experience in adversarial simulation and red-teaming methodologies
  • 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.
$122,000/year to $180,000/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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