Machine Learning Intern Jobs in San Jose, CA
Machine Learning Intern jobs in San Jose are concentrated in North San Jose, Downtown San Jose, and the Alviso corridor, with strong demand across semiconductor, enterprise software, and AI infrastructure sectors. Employers actively hiring include TikTok, ByteDance, and Adobe. Scan the live roles below and apply to whichever ones fit.
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Machine Learning Engineer Intern (TikTok-Data-Search-Search Quality) - 2026 Start (PhD)
Location
:
San Jose
Employment Type
:
Intern
Job Code
:
A46838
Responsibilities
The Search team builds the systems that help users find relevant, reliable, and engaging content across TikTok. The team works across search retrieval, ranking, recommendation signals, query understanding, relevance, infrastructure, and product experiences. Our work combines large-scale machine learning, data-driven product development, and distributed systems to improve search quality for a global user base.
We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.
Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).
Responsibilities
- Support the design, implementation, testing, and iteration of Search features, services, or tools under the guidance of engineers and mentors.
- Work with large-scale data, logs, metrics, or experiments to understand user search behavior and improve product or system quality.
- Collaborate with engineering, product, data science, and machine learning partners to define requirements and deliver project milestones.
- Write clear, maintainable code and documentation for assigned workstreams.
- Communicate progress, risks, and learnings with mentors and stakeholders throughout the internship.
Minimum Qualifications
- Must be able to commit to a 12-week full-time work.
- Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Proficient coding skills and strong algorithm & data structure basis.
- Effective communication and teamwork skills.
- Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.
- Experience with search, recommendation, machine learning, information retrieval, natural language processing, ranking, ads, content understanding, or data mining projects.
- Familiarity with databases, distributed systems, data pipelines, experimentation, or large-scale backend services.
- Experience using data to investigate product, user, or system problems.
- Ability to communicate technical ideas clearly and collaborate with cross-functional partners.
- Interest in improving search experiences for large-scale consumer products.
【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $60- $60.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
https://tinyurl.com/RA-request
See All 23 Machine Learning Intern Jobs in San Jose
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Find Machine Learning Intern JobsMachine Learning Intern Job Market in San Jose
Who's Hiring
- TikTok15

- ByteDance3

- Adobe2

- TetraMem2

- Sikka Software2

Top Industries Hiring
- Technology & Software
Machine Learning Intern Jobs in San Jose: Frequently Asked Questions
How do I get a machine learning intern job in San Jose?
The strongest path into a machine learning intern role in San Jose runs through the city's semiconductor and enterprise software clusters in North San Jose and the Alviso corridor. Employers in these sectors prioritize candidates with hands-on Python or PyTorch experience and at least one completed ML project. Targeting mid-size AI infrastructure firms alongside the larger tech employers gives you a real edge, since competition for marquee-name internships is intense.
Which companies hire machine learning interns in San Jose?
San Jose machine learning intern roles are posted by TikTok, ByteDance, and Adobe and others right now, based on current listings on Migrate Mate as of August 2026. San Jose's employer base skews heavily toward semiconductor companies, enterprise cloud platforms, and AI-focused hardware firms, making it one of the denser local markets for applied ML internship work.
Are there remote machine learning intern jobs in San Jose?
Yes, though availability depends on the work. Machine learning intern roles tied to hardware validation or lab access are almost always on-site, while data pipeline, model training, and analytics-focused positions are more likely to offer flexibility. About 0% of machine learning intern openings tied to San Jose are remote or hybrid as of August 2026, with hybrid arrangements most common at enterprise software employers in the Downtown and North San Jose corridors.
How can I get a machine learning intern job in San Jose with little or no experience?
The most realistic entry path in San Jose is through research internships at institutions like San Jose State University or through junior data analyst roles at mid-size enterprise software firms that funnel strong performers into ML tracks. Building a public portfolio of completed projects on GitHub and targeting smaller AI startups in North San Jose, where teams move faster and rely more on generalist contributors, gives candidates without formal work history a concrete foothold.
Which industries hire the most machine learning interns in San Jose?
The sectors hiring the most machine learning interns in San Jose are Technology & Software, based on current listings on Migrate Mate as of August 2026. San Jose's position as a center for semiconductor design and enterprise cloud infrastructure means local ML intern demand is driven heavily by applied research and product development work rather than purely analytical roles.
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