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Senior Meta Machine Learning Jobs (NOW HIRING)

Senior Machine Learning Engineer

Austin, TX ยท On-site

$335K - $400K/yr

* Senior Machine Learning Engineers needed for high growth tech company * Austin, TX - must be ... Meta-learning * Ranking, prediction or optimisation models * At least 3 years of experience ...

New

Senior Machine Learning Engineer

Austin, TX ยท On-site

$210K - $260K/yr

* Senior Machine Learning Engineers needed for high growth tech company * Austin, TX - must be ... Meta-learning * Ranking, prediction or optimisation models * At least 3 years of experience ...

New

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and ... Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and ...

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and ... Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and ...

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and ... Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and ...

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and ... Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and ...

Senior Machine Learning Engineer

Austin, TX ยท On-site +1

$335K - $400K/yr

We are hiring Senior Machine Learning Engineers We are hiring engineers with significant expertise ... Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$335K - $400K/yr

We are hiring Senior Machine Learning Engineers We are hiring engineers with significant expertise ... Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$335K - $400K/yr

We are hiring Senior Machine Learning Engineers We are hiring engineers with significant expertise ... Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ...

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Senior Meta Machine Learning information

See salary details

$25K

$80.3K

$163.5K

How much do senior meta machine learning jobs pay per year?

As of Jul 31, 2026, the average yearly pay for senior meta machine learning in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

More about Senior Meta Machine Learning jobs
What cities are hiring for Senior Meta Machine Learning jobs? Cities with the most Senior 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 Senior Meta Machine Learning jobs? States with the most job openings for Senior Meta Machine Learning jobs include:
Infographic showing various Senior Meta Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Machine Learning Engineer

LHi Group Ltd

Austin, TX โ€ข On-site

$335K - $400K/yr

Other

Posted yesterday

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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.