Machine Learning Intern Jobs in San Mateo, CA
Machine Learning Intern jobs in San Mateo are in strong demand, concentrated in the Downtown San Mateo corridor, the Bay Meadows tech campus area, and the Hillsdale business district, across fintech, enterprise software, and healthtech. Employers hiring right now include Roblox, BigHat Biosciences, and Upstart. See the openings below and apply to the ones that match your experience.
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About Upstart
At Upstart, we're united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence.
As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that's both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress.
We're proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn't mean distant. We're intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you'll have the support to work in the way that works best for you.
If you're energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we'd love to hear from you.
The Team:
Upstart is looking for a Director of Product, Machine Learning & Decisioning Platforms to help us achieve our mission of enabling effortless credit based on true risk. This role will lead the product strategy and team responsible for the platforms that power Upstart's credit decisioning and machine learning platform capabilities. This is a highly technical, platform-focused product leadership role at the core of Upstart's business. You will manage and develop a team of experienced product managers, set strategy across multiple interconnected product areas, and partner closely with engineering and machine learning leaders to evolve the systems underlying pricing, underwriting, model deployment, and ML innovation.
The ideal candidate is a strong product leader and coach who can bring structure to complex, ambiguous problems; connect technical decisions to business and customer outcomes; and create alignment across teams. While you will remain close to the product, this role is primarily focused on setting direction, developing talent, and enabling your team to deliver high-impact results.
How you'll make an impact
- Lead, coach, and develop a team of product managers, setting clear priorities and raising the quality of product management across the organization.
- Define the product strategy and roadmap for the platforms powering Upstart's credit decisioning and machine learning capabilities.
- Partner with engineering and machine learning leaders to improve model development, versioning, deployment, forecasting, experimentation, and monitoring.
- Evolve underwriting and decisioning systems to better connect customer information, model outputs, and business outcomes.
- Identify opportunities to apply machine learning across the business, validate them through focused MVPs, and build the strongest opportunities into scalable products.
- Create scalable processes for evaluating, onboarding, and integrating data vendors and other ML capabilities.
- Balance near-term execution with long-term platform investment, making thoughtful trade-offs across impact, risk, technical complexity, and speed.
- Build alignment across teams and ensure machine learning is incorporated into product strategy from the start.
Minimum Qualifications
- Bachelor's degree in a technical field or equivalent practical experience.
- 8+ years of product management experience, including experience leading technical or platform products.
- Experience managing and developing product managers, ideally across multiple interconnected teams.
- Strong technical fluency and experience partnering with engineering, machine learning, and data science teams.
- Demonstrated ability to set strategy, navigate ambiguity, and deliver results in a fast-paced environment.
- Strong analytical, organizational, communication, and problem-solving skills.
- Ability to connect technical and product decisions to business outcomes, particularly in credit, lending, or financial services.
- A track record of building strong teams and raising the quality of product management practices.
Preferred Qualifications
- Experience as a data scientist, machine learning engineer, or other machine learning individual contributor.
- Experience with model lifecycle management, decisioning systems, experimentation, optimization, or real-time inference platforms.
- Experience building or scaling online financial products, particularly in consumer lending or credit.
Position location This role is available in the following locations: Remote
Time zone requirements The team operates on the East/West coast time zones.
Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.
#LI-REMOTE
#LI-Director
What you'll love
At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here's what you can expect:
- Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
- Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada)
- Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only)
- Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada.
- Health Savings Account contributions from Upstart for eligible plans (US only)
- Income protection benefits, including life insurance and disability coverage for added financial security
- Paid time off, sick leave, and company holidays, in line with local requirements
- Paid family and parental leave to support caregiving and major life moments (duration varies by country)
- Family-centered benefits to support fertility, parenthood, and caregiving needs
- Employee Assistance Program (EAP) offering mental health support and life-centered resources
- Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only)
- Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you
- Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from
- Connection and community through team events, all-company updates, and employee resource groups (ERGs)
- Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!)
For roles based in Canada, please note that we are not currently able to hire in Quebec.
Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com
https://www.upstart.com/candidate_privacy_policy
About Upstart
At Upstart, we're united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence.
As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that's both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress.
We're proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn't mean distant. We're intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you'll have the support to work in the way that works best for you.
If you're energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we'd love to hear from you.
The Team:
Upstart is looking for a Director of Product, Machine Learning & Decisioning Platforms to help us achieve our mission of enabling effortless credit based on true risk. This role will lead the product strategy and team responsible for the platforms that power Upstart's credit decisioning and machine learning platform capabilities. This is a highly technical, platform-focused product leadership role at the core of Upstart's business. You will manage and develop a team of experienced product managers, set strategy across multiple interconnected product areas, and partner closely with engineering and machine learning leaders to evolve the systems underlying pricing, underwriting, model deployment, and ML innovation.
The ideal candidate is a strong product leader and coach who can bring structure to complex, ambiguous problems; connect technical decisions to business and customer outcomes; and create alignment across teams. While you will remain close to the product, this role is primarily focused on setting direction, developing talent, and enabling your team to deliver high-impact results.
How you'll make an impact
- Lead, coach, and develop a team of product managers, setting clear priorities and raising the quality of product management across the organization.
- Define the product strategy and roadmap for the platforms powering Upstart's credit decisioning and machine learning capabilities.
- Partner with engineering and machine learning leaders to improve model development, versioning, deployment, forecasting, experimentation, and monitoring.
- Evolve underwriting and decisioning systems to better connect customer information, model outputs, and business outcomes.
- Identify opportunities to apply machine learning across the business, validate them through focused MVPs, and build the strongest opportunities into scalable products.
- Create scalable processes for evaluating, onboarding, and integrating data vendors and other ML capabilities.
- Balance near-term execution with long-term platform investment, making thoughtful trade-offs across impact, risk, technical complexity, and speed.
- Build alignment across teams and ensure machine learning is incorporated into product strategy from the start.
Minimum Qualifications
- Bachelor's degree in a technical field or equivalent practical experience.
- 8+ years of product management experience, including experience leading technical or platform products.
- Experience managing and developing product managers, ideally across multiple interconnected teams.
- Strong technical fluency and experience partnering with engineering, machine learning, and data science teams.
- Demonstrated ability to set strategy, navigate ambiguity, and deliver results in a fast-paced environment.
- Strong analytical, organizational, communication, and problem-solving skills.
- Ability to connect technical and product decisions to business outcomes, particularly in credit, lending, or financial services.
- A track record of building strong teams and raising the quality of product management practices.
Preferred Qualifications
- Experience as a data scientist, machine learning engineer, or other machine learning individual contributor.
- Experience with model lifecycle management, decisioning systems, experimentation, optimization, or real-time inference platforms.
- Experience building or scaling online financial products, particularly in consumer lending or credit.
Position location This role is available in the following locations: Remote
Time zone requirements The team operates on the East/West coast time zones.
Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.
#LI-REMOTE
#LI-Director
What you'll love
At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here's what you can expect:
- Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
- Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada)
- Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only)
- Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada.
- Health Savings Account contributions from Upstart for eligible plans (US only)
- Income protection benefits, including life insurance and disability coverage for added financial security
- Paid time off, sick leave, and company holidays, in line with local requirements
- Paid family and parental leave to support caregiving and major life moments (duration varies by country)
- Family-centered benefits to support fertility, parenthood, and caregiving needs
- Employee Assistance Program (EAP) offering mental health support and life-centered resources
- Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only)
- Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you
- Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from
- Connection and community through team events, all-company updates, and employee resource groups (ERGs)
- Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!)
For roles based in Canada, please note that we are not currently able to hire in Quebec.
Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com
https://www.upstart.com/candidate_privacy_policy
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Find Machine Learning Intern JobsMachine Learning Intern Job Market in San Mateo
Who's Hiring
- Roblox515
- BigHat Biosciences86
- Upstart43
- Skild AI43
- Guidewire43
Top Industries Hiring
- Technology & Software429
- Gaming & Esports43
- Artificial Intelligence43
Machine Learning Intern Jobs in San Mateo: Frequently Asked Questions
How do I get a machine learning intern job in San Mateo?
The strongest path in San Mateo is targeting the fintech, enterprise software, and healthtech companies clustered in the Bay Meadows area and downtown corridor, where most local machine learning intern openings sit. Candidates who have hands-on Python or PyTorch project experience and can point to a completed model deployment, even a personal or coursework project, consistently stand out. Applying to mid-size growth-stage companies alongside large employers broadens your options in this market.
Which companies hire machine learning interns in San Mateo?
Employers hiring machine learning interns in San Mateo right now include Roblox, BigHat Biosciences, and Upstart, based on current listings on Migrate Mate as of September 2026. San Mateo's hiring mix leans toward established fintech firms and well-funded Series B and C software companies rather than early-stage startups, which means intern programs here tend to be structured with defined project scopes.
Are there remote machine learning intern jobs in San Mateo?
Yes, though availability varies: machine learning intern work that is primarily model training, data pipeline work, or research is often remote-friendly, while roles involving lab infrastructure or on-site GPU clusters are almost always on-site. About 92% of machine learning intern openings tied to San Mateo are remote or hybrid as of September 2026, reflecting the analytical nature of much of the local work. Research and data-focused intern tracks at San Mateo fintech and enterprise software companies are the most likely to offer hybrid schedules.
How can I get a machine learning intern job in San Mateo with little or no experience?
The most realistic entry path in San Mateo is targeting data analyst or data engineering intern roles at local fintech and healthtech companies, then moving laterally into machine learning work once you have production data experience on your record. San Mateo employers in the Bay Meadows tech cluster frequently hire interns for data-adjacent roles that grow into ML responsibilities mid-internship. A portfolio with at least one end-to-end project, a Kaggle competition result, or a research paper contribution meaningfully improves your chances with San Mateo hiring teams.
Which industries hire the most machine learning interns in San Mateo?
San Mateo machine learning intern roles concentrate in Technology & Software, Gaming & Esports, and Artificial Intelligence, based on current listings on Migrate Mate as of September 2026. San Mateo's position as a hub for established fintech firms and enterprise software companies with large data operations drives consistent intern demand in those sectors year-round.
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