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Temporary Meta Machine Learning Jobs in Washington, DC

Meta

Design Program Manager

Washington, DC · On-site +1

$162K/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

Innovation Policy Manager

Washington, DC · Hybrid

$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 ...

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 ...

Intrepid

Data Analyst

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 ...

Smart Data

Data Scientist III

Chantilly, VA · On-site

$135K - $180K/yr

This role focuses on applying data science, machine learning, and data engineering techniques to ... temp-to-perm possible) - Schedule: Standard hours (40/week) - Work Location: On-site required ...

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How much do temporary meta machine learning jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for temporary meta machine learning in Washington, DC is $25.85, according to ZipRecruiter salary data. Most workers in this role earn between $22.31 and $28.85 per hour, depending on experience, location, and employer.

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 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 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 most commonly searched types of Meta Machine Learning jobs in Washington, DC?

The most popular types of Meta Machine Learning jobs in Washington, DC are:

What are popular job titles related to Temporary Meta Machine Learning jobs in Washington, DC?

For Temporary Meta Machine Learning jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Temporary Meta Machine Learning jobs in Washington, DC look for?

The top searched job categories for Temporary Meta Machine Learning jobs in Washington, DC are:

Temporary Meta Machine Learning jobs near you

Design Program Manager

Washington, DC • On-site, Remote

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$162K/yr

Full-time

Re-posted 27 days ago

Key responsibilities

  • Identify and drive large, organization-level product initiatives forward that have multiple stakeholders, competing deadlines, multiple dependencies and many moving parts

  • Own and facilitate meetings to drive progress against goals and objectives and establish clear next steps and owners, while resolving blocks that impede progress

  • Proactively assess execution risks, raise flags and resolve issues before they become problems for larger teams

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Design Program Managers in the Risk org are connectors and problem solvers. By supporting the design leads in running the functional team, as well as supporting product teams' design priorities, you will enable Meta to design, build, and ship responsible, compliant products. You will improve team communication, collaboration, and remove roadblocks. You'll utilize a full range of organizational and effective communication skills to help keep our teams on track, execute specific design initiatives intended to strengthen the team, industry expertise, and team impact, and you'll work with cross-functional teams to establish great ways of working together.
Design Program Manager Responsibilities:
  • Identify and drive large, organization-level product initiatives forward that have multiple stakeholders, competing deadlines, multiple dependencies and many moving parts
  • Prioritize, assess tradeoffs, propose clear solutions and communicate strategically
  • Own and facilitate meetings to drive progress against goals and objectives and establish clear next steps and owners, while resolving blocks that impede progress
  • Proactively assess execution risks, raise flags and resolve issues - before they become problems for larger teams
  • Be the operations subject matter expert to the product team, mentor, and share expertise with team members
  • Communicate persuasively to the right audience to get buy-in and feedback
  • Proactively problem solve and distribute information effectively
  • Define and measure impact of programs and initiatives both qualitatively and quantitatively, continually refining and iterating to ensure usage and adoption
  • Scale programs and initiatives when necessary and delegate effectively with clear expectations
  • Source and manage operational budgets, vendor relationships and contracts for programs like Accessibility

Minimum Qualifications:
  • Minimum of 7 years of experience in program or project management
  • Experience managing cross-functional projects with shifting requirements, from initial concept and roadmapping through execution and delivery
  • Experience working directly with product designers and content designers
  • Experience independently managing project timelines, setting priorities, and escalating blockers across multiple workstreams
  • Experience using data to identify problems and communicate solutions

Preferred Qualifications:
  • Experience with compliance, trust & safety, or responsible AI product development
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience with accessibility programs or inclusive design practices
  • Experience integrating AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience leading product or business strategy in a time-sensitive environment
  • Experience managing vendors and contractors

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.
$162,000/year to $222,000/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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