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Contract Meta Machine Learning Jobs in Austin, TX

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

ASIC Engineer, Power

Austin, TX · On-site +1

$146K/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 ...

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 ...

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 ...

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 ...

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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Contract Meta Machine Learning information

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

As of Sep 14, 2026, the average hourly pay for contract meta machine learning in Austin, TX is $21.14, according to ZipRecruiter salary data. Most workers in this role earn between $18.61 and $22.64 per hour, depending on experience, location, and employer.

What is a contract Meta machine learning professional?

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 key skills and qualifications needed to thrive as a contract Meta machine learning engineer?

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 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 the most commonly searched types of Meta Machine Learning jobs in Austin, TX?

The most popular types of Meta Machine Learning jobs in Austin, TX are:

What are popular job titles related to Contract Meta Machine Learning jobs in Austin, TX?

For Contract Meta Machine Learning jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Contract Meta Machine Learning jobs in Austin, TX look for?

The top searched job categories for Contract Meta Machine Learning jobs in Austin, TX are:

What cities near Austin, TX are hiring for Contract Meta Machine Learning jobs?

Cities near Austin, TX with the most Contract Meta Machine Learning job openings:

Infographic showing various Contract Meta Machine Learning job openings in Austin, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $43,973 per year, or $21.1 per hour.

Data Center Site Selection Manager

Austin, TX

Meta
Internet and IT • 10K+ employees

$170K/yr

Full-time

Re-posted 7 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz


Job description

Meta designs, builds, leases, and operates the most leading-edge and efficient data centers in the world. Locating, developing and managing this data center infrastructure the "right" way is synonymous with ensuring high uptime, capacity availability, flexibility and capital and operational cost efficiency. Meta is seeking an experienced, organized, and collaborative Site Selection Manager - Leasing to join the Data Center Site Selection team.We are seeking a Data Center Site Selection Manager who has extensive experience negotiating large, complex leasing deals and an extensive knowledge of the legal agreements that accompany them. The Data Center Site Selection Manager should also have experience thinking both strategically and analytically, develop out-of-the box solutions and can navigate the challenges that accompany leasing projects and portfolios of large magnitude.
Data Center Site Selection Manager Responsibilities:
  • Lead data center acquisition and lease contracting negotiations
  • Perform technical due diligence and validate site viability across energy, land, etc
  • Manage supplier relationships and best practices
  • Perform market analysis and develop leasing site selection strategy
  • Stay informed of the technical, market, and regulatory developments in the data center industry
  • Contribute to organizational strategy and development of leasing standards at Meta
  • Travel domestically (10-25% at times)

Minimum Qualifications:
  • Bachelor's degree in a business, engineering, environmental, or energy related discipline
  • 8+ years experience in facilitating, evaluating, or managing data center capacity projects
  • Experience collaborating across multiple internal functions, including legal, compliance, finance, and accounting
  • Familiarity with various lease structures (Modified Gross, NNN, YoC, etc.)
  • Experience leading large scale data center lease negotiations
  • Experience synthesizing commercial, regulatory, market, and contractual details to all organizational levels
  • Proven track record building and running leasing programs
  • Bachelor's degree in a directly related field, or equivalent practical experience

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

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.
$170,000/year to $238,000/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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