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Contract Meta Machine Learning Jobs in Washington, DC

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...

We consider the work that we do on our government contracts as one of the ways that we give back to ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

We consider the work that we do on our government contracts as one of the ways that we give back to ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

We consider the work that we do on our government contracts as one of the ways that we give back to ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

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Contract Meta Machine Learning information

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$16

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$29

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

As of Jun 24, 2026, the average hourly pay for contract meta machine learning in Washington, DC 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 are the key skills and qualifications needed to thrive as a Contract Meta Machine Learning Engineer, and why are they important?

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

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

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What are Contract Meta Machine Learning professionals?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.
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 Contract Meta Machine Learning jobs in Washington, DC? For Contract Meta Machine Learning jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Contract Meta Machine Learning jobs in Washington, DC look for? The top searched job categories for Contract Meta Machine Learning jobs in Washington, DC are:
Infographic showing various Contract Meta Machine Learning job openings in Washington, DC as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 11% Part Time, 1% Temporary, and 10% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $50,246 per year, or $24.2 per hour.
Energy Manager (Energy Supply and Interconnection Contracts)

Energy Manager (Energy Supply and Interconnection Contracts)

Meta

Reston, VA • On-site, Remote

$160K/yr

Full-time

Posted 6 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies


Job description

In this role, you will be a key contributor to Meta's Global Energy Team, specifically the Energy Infrastructure Strategy and Investments team. You will be responsible for managing a portfolio of Interconnection and Energy Supply Agreements, including leading, coordinating, and managing contract compliance, monitoring financial commitments, and overseeing obligations for both Meta and the counterparties. You will have the opportunity to master contract details, analyze financial and operational performance, resolve disputes, and propose solutions.
Energy Manager (Energy Supply and Interconnection Contracts) Responsibilities:
  • Combined ownership of the comprehensive management of Meta's energy supply and interconnection contracts
  • Serve as the ongoing owner for a portfolio of executed energy supply and interconnection contracts
  • Ensure accurate and timely cataloging of requirements in internal systems and trackers, and ongoing visibility for leadership regarding contract health
  • Analyze financial structures within agreements (e.g., Contributions in Aid of Construction, Parent Guarantees, milestone payments) to identify and communicate potential risks and exposures
  • Manage the execution of agreements by tracking deliverables, milestones, and obligations for both Meta and counterparties
  • Monitor ongoing financial commitments and ensure compliance with contract terms
  • Support the management of contract amendments, terminations, and cost recovery processes as needed
  • Maintain accurate records of contract negotiations, executed agreements, and ongoing obligations
  • Identify opportunities to streamline contract management processes and improve efficiency
  • Coordinate with legal counsel, finance, accounting, purchasing, accounts payable/receivable, and other key stakeholders

Minimum Qualifications:
  • Demonstrated analytical skills with experience in interpreting contract terms, financial structures (e.g., milestone payments, guarantees), and risk exposure
  • Ability to work independently and manage multiple projects simultaneously
  • Experience managing a portfolio of energy supply agreements and/or interconnection contracts, including contract execution, compliance, and reporting
  • 6+ years of experience in energy contract management, energy procurement, or energy project development with an electric utility, energy supplier, project developer, corporate renewable energy buyer, or an energy-intensive industrial or consumer company
  • Bachelor's degree in business, energy, engineering, or environmental science, paralegal studies, or similar
  • Experience in building cross-functional relationships and with external stakeholders
  • Knowledge of utilities IX and ESA, and US energy markets
  • Experience with G Suite, Excel, Word, and Salesforce

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • 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 development and contracts for nat gas turbines, BTM, or off-grid generation
  • Experience supporting data center or large-scale infrastructure energy requirements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.
$160,000/year to $232,000/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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