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Temporary Meta Machine Learning Jobs in Washington, DC

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 ...

Systems Planning and Analysis

Data Analyst

Springfield, VA · On-site

$110K - $150K/yr

  • Medical

  • Life

  • Retirement

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 ...

SPA

Data Analyst with Security Clearance

Springfield, VA · On-site

$110K - $150K/yr

  • Medical

  • Life

  • Retirement

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

  • Medical

  • Life

  • Retirement

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 ...

Systems Planning and Analysis

Data Analyst

Springfield, VA

$110K - $150K/yr

  • Medical

  • Life

  • Retirement

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 ...

SPA

Data Analyst

Springfield, VA · On-site

$110K - $150K/yr

  • Medical

  • Life

  • Retirement

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 ...

Systems Planning and Analysis

Data Analyst

Springfield, VA · On-site

$110K - $150K/yr

  • Medical

  • Life

  • Retirement

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 ...

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

Temporary Meta Machine Learning information

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

As of Aug 19, 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

Security Engineering Manager - AI for Security, web and mobile techstack

Meta

Washington, DC

$184K/yr

Full-time

Posted 29 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

Meta’s security team is the central engine driving data and system security. We work across all parts of the company, from corporate infrastructure to production to external services, interfacing with nearly every team in the company.We are looking for a Security Engineering Manager to support a team of engineers using AI to scale security across Meta's products. You’ll support a team of security engineers who specialize in web and mobileOS security. You will be working across engineering teams supporting Facebook, Instagram, WhatsApp, and Messenger. Your team will be developing, deploying, and managing automation to find, fix, mitigate, and prevent vulnerabilities.
Security Engineering Manager - AI for Security, web and mobile techstack Responsibilities:
  • Influence and align the organization’s vision and strategy, while engaging your team to develop and deliver specific, multi-year roadmaps, programs, and projects. Ensure prioritization, resourcing, and timely delivery of this work within a changing business environment
  • Measure the impact of your team and set clear expectations and goals
  • Partner with leadership to influence and drive org design, contribution and prioritization
  • Participate in technical design and strategy
  • Lead and guide engineering practices to sustain a high-performance team
  • Integrate security in a constantly evolving environment where process is fluid and creative solutions are the norm
  • Build, cultivate, and maintain positive relationships with cross-functional partners to enable the team to effectively and efficiently execute on project work
  • Hire, grow, and build a high-performing team to achieve the team’s mission
  • Work across partners in Product Management, Data Science, and Data Engineering to design and iterate on metrics and goals related to attack enumeration and detection coverage and validation

Minimum Qualifications:
  • BS in Computer Science or equivalent experience in Security
  • 8+ years of experience in Security or Software Engineering, including 3+ years of hands-on technical management in security engineering or security software engineering in product-driven environments
  • Proven track record of supporting security research, engineering, or other technical teams
  • Demonstrated experience in working across organizational boundaries to achieve company-wide impact
  • Experience leading and managing complex cross-functional programs
  • Scripting experience with an interpreted programming language (PHP, Python, Perl, Ruby, etc.)
  • Broad knowledge across security, systems design, offensive security, and detection engineering domains

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Background in security-focused software engineering, designing large scale systems and data pipelines, or in offensive security
  • Expertise in one or more security domains such as web application security, Android security, and iOS security
  • 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)
  • Broad knowledge across the Security domain, as well as deep focus in one (or more) areas such as vulnerability detection and prevention

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.
$184,000/year to $257,000/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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