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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

Product Policy Manager, GenAI

Washington, DC · On-site +1

$153K/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 ...

SPA

Data Analyst with Security Clearance

Springfield, VA · On-site

$110K - $150K/yr

This role will support and inform the design of experiments and execution of joint kill chains through machine learning, meta modeling, AI, and neural network analysis. Candidate must be self ...

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 Aug 13, 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?

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 meta machine learning?

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 August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $50,246 per year, or $24.2 per hour.

Program Manager, Strategic Initiatives

Meta

Washington, DC

$193K/yr

Full-time

Posted 10 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Meta is seeking a Strategic Initiatives Lead to support the Partnerships team. In this role, you will be responsible for operationalizing high-priority strategic programs, with a near-term focus on scaling our glasses seeding strategy across partners, tentpole moments, and priority verticals. You will operate in a fast-moving, highly matrixed environment, translating leadership priorities into scalable playbooks, durable partner frameworks, and measurable outcomes.
Program Manager, Strategic Initiatives Responsibilities:
  • Set and drive priorities and operating cadence to deliver against partnership and seeding objectives
  • Own the strategic seeding roadmap, with an immediate focus on operationalizing and scaling the glasses seeding program across regions, verticals, and tentpole events
  • Design, pilot, and scale program models (playbooks, governance, toolkits) that enable repeatable execution and partner activation at scale
  • Build and manage relationships with internal leadership and cross-functional partners (e.g., Product, Hardware, Marketing, Comms, Legal, Policy) to align on strategy and unlock execution capacity
  • Train colleagues across XFNs on glasses onboarding tactics to ensure a successful seeding experience for partners
  • Develop and maintain external partner frameworks that support seeding logistics and tracking across creators, athletes, public figures, and institutional partners
  • Create concise executive-ready materials (briefs, decision memos, talking points) to support rapid decision-making and leadership alignment
  • Act as a nimble operator, shifting between strategic planning and hands-on execution as priorities evolve

Minimum Qualifications:
  • 10+ years of experience in strategic programs, partnerships, operations, management consulting, or executive-level program leadership
  • Experience building and scaling programs into repeatable, measurable operations
  • Proven ability to influence and execute with cross-functional stakeholders in ambiguous, highly matrixed environments
  • Experience translating complex topics into clear, executive-ready narratives for technical and non-technical stakeholders
  • Bachelor's degree (or equivalent practical experience)

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience in partnerships, media, sports, entertainment, or creator ecosystems
  • Demonstrated ability to improve operating cadence and execution at scale across multiple markets or regions
  • 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)
  • Track record of operationalizing hardware or product seeding programs with external partners
  • Experience leveraging AI tools to streamline workflows and improve program effectiveness

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.
$193,000/year to $269,000/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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