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Senior Meta Machine Learning Jobs in Berkeley, CA

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role bridges research and production-you'll take ML ...

Kikoff

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on developing and maintaining machine learning infrastructure and operations, particularly for our cash ...

Meta

Research Engineer, Monetization AI

Fremont, CA

$183K/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

Research Engineer, Monetization AI

Menlo Park, CA

$183K/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 ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site

$147K - $194K/yr

The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL ...

Meta

Computer Vision Engineer

Burlingame, CA

$154K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL ...

Meta

Software Engineer, Systems ML

Menlo Park, CA

$183K/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 ...

Kikoff

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on developing and maintaining machine learning infrastructure and operations, particularly for our cash ...

Meta

Computer Vision Engineer

Menlo Park, CA

$154K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to ...

Meta

Partner Engineer, Generative AI

Menlo Park, CA

$149K/yr

Meta is seeking a Partner Engineer to join Meta's AI Partner Engineering team, a technical team that works with strategic partners, machine learning organizations across the industry and all major ...

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All JobsMeta Machine Learning JobsSenior Meta Machine Learning JobsSenior Meta Machine Learning Jobs in Berkeley, CA

Senior Meta Machine Learning information

See Berkeley, CA salary details

$30.6K

$98.3K

$200.2K

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

As of Aug 6, 2026, the average yearly pay for senior meta machine learning in Berkeley, CA is $98,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,800.00 and $126,100.00 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.

What are popular job titles related to Senior Meta Machine Learning jobs in Berkeley, CA? For Senior Meta Machine Learning jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Senior Meta Machine Learning jobs in Berkeley, CA look for? The top searched job categories for Senior Meta Machine Learning jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Senior Meta Machine Learning jobs? Cities near Berkeley, CA with the most Senior Meta Machine Learning job openings:
Senior Meta Machine Learning jobs near you
Infographic showing various Senior Meta Machine Learning job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $98,307 per year, or $47.3 per hour.

Machine Learning / Senior Machine Learning Scientist / Engineer

Calico

South San Francisco, CA • On-site

$170K - $240K/yr

Full-time

Re-posted 26 days ago

Job description

Who We Are:
Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico's highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.
Position Description:
Calico is seeking a machine learning research scientist to develop innovative machine learning algorithms to model and design proteins. This person will work with a team of dedicated experimental biologists to design experiments to test and iteratively refine machine learning predictions.
The ideal candidate should be familiar with state-of-the-art machine learning techniques, including language/sequence modeling, representation learning, generative models, and self-supervised learning techniques. Candidates should have experience implementing, extending, and debugging state of the art machine learning models, and have expertise in designing and building robust data infrastructure and tools. Candidates should be independent, self-motivated and be expected to explore relevant ML literature and apply novel approaches to various protein design problems at Calico. Candidates must demonstrate a strong ability to communicate ideas and results through publications and presentations and be able to work cross-functionally to execute on complex projects.
Position Requirements:
  • Ph.D. in Computer Science, Computational Biology, or related technical field; OR M.S. in Computer Science, Computational Biology, or related technical field, plus 2+ years industry experience
  • Experience in applying deep learning to model biological sequences and structures
  • Expert in TensorFlow, PyTorch, and/or JAX
  • Strong software engineering skills and substantial expertise in Python
  • Track record of outstanding communication and collaboration in a cross-functional environment
  • Strong analytical and quantitative skills
  • Must be willing to work onsite at least four days a week
Nice to Have:
  • Domain expertise in computational biology, biochemistry or structural biology
  • Familiarity with state of the art structure modeling tools such as AlphaFold
  • Public recognition in the field, e.g. via scientific publications or success in machine learning competitions
  • Prior experience working with biologists
  • Prior experience working as an ML Engineer/Scientist

The estimated base salary range for this role is $170,000 - $240,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.

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