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Contract Meta Machine Learning Jobs (NOW HIRING)

Meta

Software Engineer, Machine Learning

Fremont, CA · On-site +1

$184K/yr

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

Meta

Software Engineer, Machine Learning

Menlo Park, CA · On-site

$184K/yr

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

Meta

Software Engineer, Machine Learning

Los Angeles, CA · On-site

$184K/yr

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

Meta

Software Engineer, Machine Learning

Burlingame, CA · On-site

$184K/yr

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

GPTZero

Machine Learning Intern

New York, NY · On-site

Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm ... What we're looking for At GPTZero, we ensure that machine learning models are created for the ...

Meta

Software Engineer, Machine Learning

Sunnyvale, CA · On-site

$154K - $217K/yr

Meta is seeking talented engineers to join our teams in building cutting-edge products that connect ... machine learning models at scale from inception to business impact • Exposure to architectural ...

Krea

Machine Learning Engineer

San Francisco, CA

Machine Learning Engineer At Krea, we are building next-generation AI creative tools. We are ... Meta AI Research laboratory (FMK as Facebook AI Research) or founding members of OpenAI.

Hang

Machine Learning Engineer

New York, NY · On-site +1

... Meta, LinkedIn, Coinbase, Square, and Goldman Sachs. Hang raised a $16 million Series A led by ... This person will implement and develop machine learning models to enhance our platform ...

Nace AI

Machine Learning Engineer

Palo Alto, CA

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Fine-tune large language models (LLMs) and implement meta-learning methods to enhance model ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Fine-tune large language models (LLMs) and implement meta-learning methods to enhance model ...

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

As of Jun 3, 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 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 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.

More about Contract Meta Machine Learning jobs
What cities are hiring for Contract Meta Machine Learning jobs? Cities with the most Contract Meta Machine Learning job openings:
What are the most commonly searched types of Meta Machine Learning jobs? The most popular types of Meta Machine Learning jobs are:
What states have the most Contract Meta Machine Learning jobs? States with the most job openings for Contract Meta Machine Learning jobs include:
What job categories do people searching Contract Meta Machine Learning jobs look for? The top searched job categories for Contract Meta Machine Learning jobs are:
Contract Meta Machine Learning jobs near you
Infographic showing various Contract Meta Machine Learning job openings in the United States as of May 2026, with employment types broken down into 7% Locum Tenens, 34% As Needed, 33% Full Time, 13% Contract, and 13% Nights. Highlights an 73% Physical, 10% Hybrid, and 17% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.
Software Engineer, Machine Learning

Software Engineer, Machine Learning

Meta

Fremont, CA • On-site, Remote

$184K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

119th of 185 rated software companies

Job description

Meta is seeking talented experienced 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 have the opportunity to work on 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 joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Machine Learning Responsibilities:
  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
  • Implement custom user interfaces using latest programming techniques and technologies
  • Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
  • Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
  • Architect efficient and scalable systems that drive complex applications
  • Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
  • Work on a variety of coding languages and technologies
  • Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications:
  • Demonstrated experience driving change within an organization and leading complex technical projects
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
  • Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions

Preferred Qualifications:
  • Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Understanding of information retrieval concepts, such as indexing, querying, and ranking
  • Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques
  • 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.
$183,997/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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