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Temporary Meta Machine Learning Jobs in Washington, DC

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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 ...

Lateral Insights LLC

Senior AI/ML Engineer

Great Falls, VA · Remote

$105K - $145K/yr

... has a temporary work visa. * Bachelor's degree in Computer Science, Engineering, or a related ... Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and ...

WSSC Water

Data Scientist

Laurel, MD · On-site

... temporary) Work Schedule Monday - Friday 8:00 AM - 5:00 PM Position Location Laurel Position ... Develops and implements advanced machine learning and statistical models to solve complex business ...

BAE Systems

Imagery Anst Sr

Sterling, VA · On-site

$97K - $164K/yr

Experience working with or developing Machine Learning algorithms for exploiting overhead imagery ... Temporary employees generally are not eligible for BAE Systems benefits, but can elect to ...

Omega Solutions Inc

Data Architect | |

Reston, VA · On-site

$70/hr

... associated meta model, common business vocabulary and taxonomies • Hands on experience in ... to applying machine learning/statistical models on large/enterprise-grade data • Working ...

BAE Systems

Business Intel Anst Prin

Reston, VA · On-site

$118K - $200K/yr

... machine learning. As a Technology Innovation Specialist, you will be responsible for leading and ... Temporary employees generally are not eligible for BAE Systems benefits, but can elect to ...

BAE Systems

IT Sys Arch Sr Prin II

Sterling, VA · On-site

$149K - $254K/yr

... machine learning, and cloud computing), to architect and lead the implementation of collection ... Temporary employees generally are not eligible for BAE Systems benefits, but can elect to ...

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Temporary Meta Machine Learning information

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

As of Jun 24, 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 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, and why are they important?

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 Temporary Meta Machine Learning jobs?

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, 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

Data Scientist

Systems Planning and Analysis

Springfield, VA • On-site

Full-time

Posted 18 days ago

Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.
The SLA Analysis Group's mission is to deliver objective analyses, plans and strategies to US Navy, US Marine Corps, USAF, other DoD, and Australian Defence Force clients to support technology development, acquisition, delivery and sustainment decisions. The group provides the core of SPA thought leadership on Undersea Strategy, Software Development and Cost Estimating, with additional benchmark capabilities in AI/ML & Decision Analytics, Modeling and Simulation, and Future Force Assessments. #MC
SPA has an immediate need for a Data Scientist.
Responsibilities
The Data Scientist will provide integral support in the areas of system modeling, performance testing, and analysis for joint integrated air and missile defense (IAMD) engagements. 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-motivated and ready to explore the IAMD mission set and identify where data science can provide insight to improve Joint warfighting capability. Work will include creation and modification of software models to compliment ongoing studies and explore new pathways for analysis.
Qualifications
Required Qualifications
  • Bachelor's degree in Engineering, Computer Science, Mathematics, Operations Research, Statistics or other related technical degree
  • 5-10 years experience
  • The ability to prepare and present complex ideas (including analytic methodologies and results) in a clear and coherent form before an audience is required.
  • Data analysis competency with mathematical programming languages (i.e., MATLAB, Python, R, etc.) or equivalent with the ability to produce charts and tables.
  • Ability to exercise independent judgment in technical analysis and to work effectively with minimal supervision.
  • Ability to work with engineers and analysts across a wide range of systems to collect data, identify and resolve modeling issues, and drive new analysis techniques.
  • Self starter with effective oral and written communication skills for working within a team environment.
  • Proficient in using MS Office, with emphasis in Excel and VBA.
  • Must have a Top Secret clearance, and the ability to maintain it throughout employment.

Preferred Qualifications
  • Master's degree in Engineering, Mathematics, Computer Science, Operations Research or other related technical degree.
  • Familiarity with SQL including the ability to create/use complex queries to extract information from databases.
  • Familiarity with commercial or military sensors and networks.
  • Experience in software testing, AFSIM, neural networks, AI, meta modeling, or machine learning.
  • Active Top Secret clearance with SCI eligibility required, and the ability to maintain it through employment.

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