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Contract Meta Machine Learning Jobs in Austin, TX

Senior Machine Learning Engineer

Austin, TX ยท On-site

$335K - $400K/yr

Meta-learning * Ranking, prediction or optimisation models * At least 3 years of experience building end-to-end machine learning systems, including training, deployment, serving and monitoring.

Senior Machine Learning Engineer

Austin, TX ยท On-site

$335K - $400K/yr

Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$335K - $400K/yr

Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

Senior Machine Learning Engineer

Austin, TX ยท On-site +1

$335K - $400K/yr

Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

Machine Learning Tutor

San Marcos, TX ยท Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Machine Learning Tutor

Austin, TX ยท Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Machine Learning Tutor

Round Rock, TX ยท Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Meta is seeking highly skilled Design Engineers to join our team. In this role, you will contribute to the development of advanced technology solutions, including machine learning, graphics, display ...

Machine Learning Engineer L-1

Austin, TX ยท On-site

$80K - $93K/yr

... modules and machine learning models as part of an AI pipeline * Works with data and software ... Due to government contract requirements, applicants are able to get clearance are preferred

Machine Learning Engineer L-1

Austin, TX ยท On-site

$80K - $93K/yr

... modules and machine learning models as part of an AI pipeline * Works with data and software ... Due to government contract requirements, applicants are able to get clearance are preferred

Experience with Design verification of Data-center applications like Video, Artificial Intelligence/Machine Learning (AI/ML) and Networking designs About Meta: Meta builds technologies that help ...

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 ...

... contract structuring * Work with international teams to bridge US GAAP to IFRS * Partner with SEC ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Experience with physical implementation of machine learning accelerators, network-on-chip architectures, or high-bandwidth memory interfaces About Meta: Meta builds technologies that help people ...

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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 Aug 4, 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 July 2026, with employment types broken down into 61% Full Time, 21% Part Time, 1% Temporary, and 17% 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.

Senior Machine Learning Engineer

LHi Group Ltd

Austin, TX โ€ข On-site

$335K - $400K/yr

Other

Posted 5 days ago


Job description

  • Senior Machine Learning Engineers needed for high growth tech company
  • Austin, TX - must be willing to work in office 4 days a week
  • High competitive salary + equity + strong benefits

Senior Machine Learning Engineer
We're partnering with a fast-growing technology company that's building machine learning systems at significant scale to solve complex real-world challenges. Their platform processes billions of transactions annually and uses advanced AI to power intelligent decision-making for millions of end users.
As a Senior Machine Learning Engineer, you'll work at the intersection of machine learning and software engineering, collaborating closely with product and engineering teams to design, build and deploy production-grade ML models that directly influence business outcomes.
Compensation
  • Total compensation: $335k-$400k
  • Base salary: $210k-$260k
  • Equity package included
  • Comprehensive benefits

What you'll do
  • Partner with product managers and engineers to translate business problems into scalable machine learning solutions.
  • Design, develop and deploy production-ready machine learning models across areas such as ranking, prediction, optimisation, forecasting and recommendation.
  • Build robust data pipelines, engineer high-quality features and integrate models into scalable production infrastructure.
  • Monitor model performance, detect drift and continuously improve model accuracy through retraining and experimentation.
  • Write clean, well-tested, production-quality code and contribute to engineering best practices across testing, reliability and performance.
  • Research emerging machine learning techniques, prototype new approaches and validate ideas through offline and online experimentation.

What we're looking for
  • PhD or Master's degree in Computer Science, Statistics, Mathematics or a related quantitative discipline (or equivalent industry experience).
  • Strong background in machine learning and software engineering with experience delivering production ML systems.
  • Expertise in one or more of the following areas:
    • Recommender systems
    • Bayesian machine learning
    • Multi-task learning
    • Meta-learning
    • Ranking, prediction or optimisation models
  • At least 3 years of experience building end-to-end machine learning systems, including training, deployment, serving and monitoring.
  • Experience with modern ML infrastructure such as TensorFlow, Kubeflow (or similar) and feature stores is highly desirable.
  • Familiarity with large-scale deep learning architectures used for recommendation or ranking systems is a plus.

Working arrangements
  • Hybrid working model with four days per week in the office and one day working remotely.

This is an opportunity to join a highly technical engineering team where machine learning sits at the core of the product. You'll have the chance to work on challenging problems at scale, collaborate with experienced engineers and researchers, and see your work make a measurable impact.