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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 ...

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 ...

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 ...

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 ...

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 ...

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Showing results 41-60

Contract Meta Machine Learning information

See Austin, TX salary details

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

As of Aug 13, 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 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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $43,973 per year, or $21.1 per hour.

ASIC Engineer, Architecture

Meta

Austin, TX

$114K/yr

Full-time

Re-posted 6 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies


Job description

Meta's Silicon Engineering organization is building custom silicon solutions that power the infrastructure underpinning Meta's AI and data center workloads at scale. As an ASIC Engineer specializing in architecture, performance and modeling, you will define and drive the architectural performance analysis, pre-silicon modeling, and microarchitectural exploration of custom ASICs designed for Meta's infrastructure. In this role, you will establish functional and performance modeling methodologies and long-term silicon roadmap strategy, as well as develop and analyze workloads, partnering with architecture, design, and software teams to ensure Meta's infrastructure silicon meets the demanding throughput, latency, and efficiency targets required at hyperscale.
ASIC Engineer, Architecture Responsibilities:
  • Drive microarchitectural exploration and trade-off analysis across compute, memory subsystem, interconnect, and I/O domains to inform silicon architecture decisions
  • Define and own the performance modeling strategy for custom infrastructure ASICs, including development of cycle-accurate and transaction-level simulation environments
  • Develop and maintain C++ models of AI chip IPs and subsystems for architecture exploration, performance analysis, and software development
  • Develop low-level workloads and kernels for machine learning training and inference applications
  • Establish performance analysis methodologies, benchmarking frameworks, and bottleneck identification techniques across the full ASIC pipeline
  • Collaborate with architecture, RTL design, and physical design teams to translate performance requirements into implementable microarchitectural specifications
  • Partner with software and systems teams to co-optimize workload scheduling, firmware, and driver behavior against silicon performance characteristics
  • Lead cross-functional technical reviews and communicate performance modeling results and architectural recommendations to engineering leadership
  • Define long-term performance modeling infrastructure roadmaps, including tooling, automation, and simulation platform investments
  • Mentor other engineers on performance modeling techniques, simulation methodology, and microarchitectural analysis best practices
  • Identify and resolve performance gaps between modeled and measured silicon behavior through structured root-cause analysis and model calibration

Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 2+ years of experience in ASIC design, silicon engineering, or a related technical field
  • Proficiency in C++ and Python for developing simulation models, automation frameworks, and performance analysis tools
  • Experience in ASIC performance modeling, microarchitectural analysis, or pre-silicon simulation for custom silicon or SoC designs
  • Experience with the performance analysis of data center, AI accelerator, or high-performance computing workloads on custom silicon
  • Experience developing cycle-accurate or transaction-level performance models using C++ and SystemC for complex digital systems, including processors, memory subsystems, or high-speed interconnects
  • Experience defining microarchitectural specifications and driving cross-functional alignment across architecture, RTL, and physical design teams
  • Experience with assembly programming languages, and with compiler technologies

Preferred Qualifications:
  • Experience developing Python-based automation pipelines for simulation orchestration, regression testing, and performance data analysis
  • Experience writing and optimizing compute/collective kernels in CUDA or equivalent GPU programming frameworks
  • Familiarity with post-silicon performance validation and model-to-hardware correlation methodologies
  • Experience with AI numerics, data types, math functions, and precision/accuracy analysis
  • Experience with high-level synthesis, power-performance-area trade-off analysis, or PPA-driven microarchitectural optimization
  • Experience building or scaling performance modeling infrastructure for hyperscale data center ASICs, including network, storage, or AI inference accelerator designs
  • Experience with hardware description languages (e.g., SystemVerilog, VHDL) and simulation environments used in ASIC development flows

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.
$114,000/year to $172,000/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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