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Temporary Meta Machine Learning Jobs in Washington

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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All JobsMeta Machine Learning JobsTemporary Meta Machine Learning JobsTemporary Meta Machine Learning Jobs in Washington

Temporary Meta Machine Learning information

What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?

Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.

What is the difference between Temporary Meta Machine Learning vs Data Scientist?

AspectTemporary Meta Machine LearningData Scientist
CredentialsTypically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are commonRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsFull-time or contract roles in various industries including finance, healthcare, and tech
Industry UsagePrimarily in tech, AI, and machine learning-focused companiesWidely used across multiple industries including finance, healthcare, marketing, and tech

Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a temporary Meta machine learning engineer?

To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.

What is a temporary Meta machine learning job?

Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.
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 Temporary Meta Machine Learning jobs in Washington? For Temporary Meta Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Washington look for? The top searched job categories for Temporary Meta Machine Learning jobs in Washington are:
What cities in Washington are hiring for Temporary Meta Machine Learning jobs? Cities in Washington with the most Temporary Meta Machine Learning job openings:
Temporary Meta Machine Learning jobs near you

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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