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Contract Meta Machine Learning Jobs (NOW HIRING)

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role bridges research and production--you'll take ML ...

ManTech International

Machine Learning Engineer

$128K - $214K/yr

The Machine Learning Engineer will leverage their strong technical background and knowledge to ... Contract Wage Determination, relevant work experience, skills and competencies that align to the ...

TEKsystems

Machine Learning Engineer

San Diego, CA · Hybrid

$70 - $95/hr

Contract-to-Hire (6-month initial engagement) Pay: $70-75 hr/w2 Location: San Diego, CA (Hybrid ... Production Machine Learning Deployments * Model Monitoring, Observability, and Optimization ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role bridges research and production-you'll take ML ...

Meta

Computer Vision Engineer

Sunnyvale, CA

$183K/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

Computer Vision Engineer

Seattle, WA

$183K/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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How much do contract meta machine learning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for contract meta machine learning in the United States is $21.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $22.84 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.
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What cities are hiring for Contract Meta Machine Learning jobs? Cities with the most Contract Meta Machine Learning job openings:
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Contract Meta Machine Learning jobs near you
Infographic showing various Contract Meta Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 17% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.
Software Engineer (Technical Leadership) - Machine Learning

Software Engineer (Technical Leadership) - Machine Learning

Meta

New York, NY

$219K/yr

Full-time

Re-posted 19 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

Meta is seeking talented principal engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will oversee complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in leading a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer (Technical Leadership) - Machine Learning Responsibilities:
  • Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
  • Effectively communicate complex features and systems in detail
  • Understand industry & company-wide trends to help assess & develop new technologies
  • Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
  • Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
  • Lead long term technical vision and roadmap for large cross-company efforts
  • Suggest, collect and synthesize requirements and create an effective feature roadmap
  • Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt

Minimum Qualifications:
  • Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission
  • Experience driving large cross-functional/industry-wide engineering efforts
  • Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
  • Experience communicating and working across functions to drive solutions
  • Experience mentoring/influencing executive stakeholders across organizations

Preferred Qualifications:
  • Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques
  • Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Understanding of information retrieval concepts, such as indexing, querying, and ranking
  • Masters degree or PhD in Computer Science or a related technical field
  • Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
  • 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

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.
$219,000/year to $301,000/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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