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Internship Machine Learning Quant Jobs in Sunnyvale, CA

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Familiarity with quantitative investing, portfolio construction, or risk management * Experience ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Strong analytical and quantitative problem-solving ability. * Proficient in one or more programming languages such as Python, Java * Strong understanding and working knowledge of distributed systems ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

Strong analytical and quantitative problem-solving ability. * Proficient in one or more programming languages such as Python, Java * Strong understanding and working knowledge of distributed systems ...

MSCI

Machine Learning Research Director

San Francisco, CA · On-site

$195 - $254/hr

Strong foundation in quantitative finance * Expert programming skills * Publication record in machine learning or quantitative finance (preferred) * Ability to communicate complex ideas clearly to ...

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

Internship Machine Learning Quant information

See Sunnyvale, CA salary details

$29.9K

$50K

$103.3K

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

As of Aug 7, 2026, the average yearly pay for internship machine learning quant in Sunnyvale, CA is $49,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,100.00 and $54,000.00 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 Sunnyvale, CA? For Internship Machine Learning Quant jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning Quant jobs in Sunnyvale, CA look for? The top searched job categories for Internship Machine Learning Quant jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Internship Machine Learning Quant jobs? Cities near Sunnyvale, CA with the most Internship Machine Learning Quant job openings:
Internship Machine Learning Quant jobs near you
Infographic showing various Internship Machine Learning Quant job openings in Sunnyvale, CA as of July 2026, with employment types broken down into 1% As Needed, 64% Full Time, 33% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $49,978 per year, or $24 per hour.

Machine Learning Engineer

Intelliswift Software

South San Francisco, CA • On-site

Full-time

Re-posted 14 days ago

Job description

Job ID: 21-13833
Responsibilities
• Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
• Work closely with Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
• MS or PhD in a quantitative field ( e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
• Demonstrated experience with Python and analysis of image-like data.
• Strong knowledge in supervised machine learning and semi-supervised machine learning.
• Excellent communication and collaboration skills.
Optional but preferred qualifications:
• Strong knowledge of classical image processing or computer vision.
• Good knowledge of Generative Adversarial Networks.
• Previous experience in medical image processing.
• Familiar with Pytorch lightning.
• Familiar with development tools for experiment tracking, dataset versioning, and model management in machine learning.
* This position is remote
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About Intelliswift

Sourced by ZipRecruiter

Intelliswift is consumed with the love for the new. Once a leading staffing company, Intelliswift now possesses the expertise to build data-rich modern platforms, and to create sophisticated systems for data management and analytics for thinking and connected enterprises. We are a global leader in delivering Digital Product Engineering, Data Management & Analytics, Cloud, Digital Enterprise and MSP/VMS staffing solutions. Led by a team of highly passionate and techno-centric innovators, we consciously embed the spirit of loving and embracing everything new in what we do. We ardently believe that companies that Love the New are at an advantage of being ahead of the curve in this age of digital.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2001

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