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Internship Machine Learning Quant Jobs in Sunnyvale, CA

Jobzhr

Machine Learning Engineer

San Francisco, CA · On-site

$130 - $200/hr

About the Role We are seeking a Machine Learning Engineer to design, build, and evaluate advanced ... Strong understanding of experimental design, model evaluation, and quantitative analysis.

New

Crowe LLP

Machine Learning Intern

San Jose, CA · On-site

$27 - $42/hr

DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...

Crowe LLP

Machine Learning Intern

San Jose, CA

$27 - $42/hr

DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...

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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 24, 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, Search Quality

San Francisco, CA • On-site

ML6
See more jobs at ML6external

$230K/yr

Full-time

Re-posted 27 days ago

Job description

The Opportunity:
Our client, a category-defining AI platform company based in the San Francisco Bay Area, is seeking a Machine Learning Engineer (Search Quality) to help build the next generation of AI-powered product experiences.
In this role, you'll focus on improving ranking, relevance, and personalization within large-scale search systems. You'll develop new signals, train advanced models, and explore innovative ways of integrating large language models into retrieval systems, directly shaping how users discover and interact with information.
What You'll Be Doing:
  • Develop and introduce novel ranking signals to improve personalization and relevance across the search experience.
  • Train and optimize machine learning models that capture complex interactions within large-scale ranking systems.
  • Design and implement domain-adaptation strategies to tailor language models to specialized data environments.
  • Explore innovative approaches for combining LLMs with search infrastructure to answer nuanced and multi-step queries.
  • Analyze data and run experiments to continuously improve retrieval quality and evaluation metrics.
  • Write clean, maintainable, and well-tested production code.
  • Collaborate closely with cross-functional partners to translate technical improvements into meaningful product impact.
  • Contribute to a strong engineering culture through knowledge sharing and mentorship.

What You'll Need To Be Successful:
  • 2-5 years of professional experience in machine learning or software engineering.
  • Bachelor's degree in Computer Science, Mathematics, Engineering, or a related quantitative field.
  • Hands-on experience working with search systems, recommendation engines, natural language processing, or other large-scale ML-driven systems.
  • Strong analytical skills with comfort working directly with data to improve model performance.
  • Proven ability to design, train, evaluate, and deploy production-ready ML models.
  • Proficiency in an ML framework of your choice (e.g., PyTorch, TensorFlow, etc.).
  • Strong programming skills in languages such as Python, Go, Java, or C++.
  • Ability to thrive in a collaborative, fast-moving environment.
  • Ownership mindset with a proactive approach to experimentation and continuous improvement.

Compensation Range: $150,000 - $265,000 + Equity.

Apply