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Internship Machine Learning Quant Jobs in Berkeley, CA

Veryfi

Sr. Machine Learning Engineer

San Mateo, CA

$63.50 - $84/hr

Prior experience with machine vision and machine learning in financial services is essential. Key ... Past experience of working in frameworks in last job or internship Preferred degree in Computer ...

Ema

Software Engineer, Machine Learning

San Francisco, CA · On-site

$135K - $200K/yr

D. in Computer Science, Machine Learning, or a related quantitative field. * At least 2 years of industry experience in building and deploying production-level machine learning models. * Deep ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

Senior Machine Learning Engineer Brisbane, California At Freenome, we are seeking a Senior Machine ... Must Haves: * MS or equivalent experience in a relevant, quantitative field such as Computer ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site

$147K - $194K/yr

At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine ... Must haves: * MS or equivalent experience in a relevant, quantitative field such as Computer ...

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All JobsMachine Learning Quant JobsInternship Machine Learning Quant JobsInternship Machine Learning Quant Jobs in Berkeley, CA

Internship Machine Learning Quant information

See Berkeley, CA salary details

$31.2K

$52.1K

$107.8K

How much do internship machine learning quant jobs pay per year?

As of Jun 16, 2026, the average yearly pay for internship machine learning quant in Berkeley, CA is $52,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $56,300.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are popular job titles related to Internship Machine Learning Quant jobs in Berkeley, CA? For Internship Machine Learning Quant jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning Quant jobs in Berkeley, CA look for? The top searched job categories for Internship Machine Learning Quant jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Internship Machine Learning Quant jobs? Cities near Berkeley, CA with the most Internship Machine Learning Quant job openings:
Internship Machine Learning Quant jobs near you

Machine Learning / Senior Machine Learning Scientist / Engineer

Calico

South San Francisco, CA • On-site

$170K - $240K/yr

Full-time

Posted 5 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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