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Contract Meta Machine Learning Jobs in Austin, TX

Meta

Silicon Power Architect, Reality Labs

Austin, TX

$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 ...

Meta

Solutions Architect

Austin, TX

$152K/yr

Champion AI-native approaches by designing and integrating advanced AI and machine learning solutions into sales processes and customer experiences. This includes leveraging Meta's AI platforms and ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and ... CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and ... CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and ... CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any ...

Meta

Software Developer, GO Systems

Austin, TX

$142K/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 ...

Facebook App

Product Manager

Austin, TX · On-site

$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 ...

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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:

Contract Meta Machine Learning jobs near you
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.

Silicon Power Architect, Reality Labs

Austin, TX

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$146K/yr

Full-time

Posted 10 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

Reality Labs focuses on delivering Meta's vision through creating advanced AI-enabled wearables. The compute performance and power efficiency requirements of wearables require custom silicon. Reality Labs Silicon team is driving the driving the industry forward with innovative work in AI, augmented reality, computer vision, machine learning, graphics, displays, and sensors. Our chips will enable wearable devices where our real and virtual worlds will mix and match throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms. We are seeking a Silicon Power Architect to lead the development of next-generation silicon solutions for wearables. This role requires experience in low-power design techniques, power estimation, and convergence tool flows and management.
Silicon Power Architect, Reality Labs Responsibilities:
  • Model and own use-case power for custom silicon by working closely with the systems team
  • Influence the overall SOC IP's power requirements, including power states, high-level power tree, and power sequence requirements
  • Work closely with architects of SOCs that optimize functions such as image compute and CPU/GPU workloads for our AR/VR products
  • Work closely with PMIC and systems teams on the overall SOC power requirements
  • Optimize the power architecture implementation to meet use case power goals
  • Work across disciplines, brainstorm big ideas, build new methodologies, prioritize and coordinate multiple initiatives based on impact and deadlines, drive a concept into a prototype and ultimately guide the transition into a high-volume consumer product
  • Understand the tradeoffs between general-purpose and custom compute mechanisms, be able to model data flows, and create detailed cost/benefit analysis
  • Work on post silicon model to hardware correlation

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Engineering or electrical engineering or a relevant technical field, or equivalent practical experience
  • 6+ years of experience with production silicon including at least one product shipped
  • Experience with methods for partitioning a solution across hardware and software, digital, and other multi-disciplinary boundaries in a system solution
  • Experience in technology node scaling and projections
  • Experience in custom IP block power estimates
  • Experience of low power design principles across RTL, design and system level
  • Experience in evaluating architectural trade-offs of performance, power, and area
  • Experience employing scientific methods to debug, diagnose, and drive the resolution of cross-disciplinary system issues

Preferred Qualifications:
  • Experience collaborating and/or leading in a team environment
  • Familiarity with high-level modeling tools like Synopsys Platform Architect or virtual prototyping tools is a plus
  • Experience independently driving technical workstreams while coordinating deliverables across hardware, software, and systems teams
  • Experience in using AI agents for managing power tools and extracting results
  • Experience defining and scoping technical specifications for novel silicon architectures in consumer electronics where requirements are continuously evolving
  • MSEE or PhD equivalent
  • Experience in top down high-level-model to HW power modeling of system use cases
  • Experience programming in C, C++, or Python
  • Results-oriented, self-motivated, proactive with demonstrated creative and critical thinking skills

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.
$146,000/year to $209,000/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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