Machine Learning Internships
Machine learning internships give university students, recent graduates, and early-career switchers hands-on project experience working alongside working engineers and data scientists, and, at many employers, a path toward a full-time offer. Roles are active across Technology & Software, Science & Research, and Food & Beverage, with TikTok, ByteDance, and Meta among the employers posting roles now.
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Machine Learning Engineer Intern (Monetization Technology - Ads Core Global) - 2027 Summer
Location :
San Jose
Employment Type :
Intern
Job Code :
A11732B
Responsibilities
TikTok Ads Core ML Team aims at creating automatic delivery products for the next generation and developing advertising as a global business, instead of just a monetization tool to consolidate the delivery funnel framework allowing multiple teams to iterate parallel. All of our team effort, is to continuously pursue and establish a world-leading ranking model & framework that always benefits our collaborators, users and customers to get better returns. We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Responsibilities: - Assist in optimizing efficiency across the entire advertising funnel, including Recall&Rough-sort, Fine-sort(CTR/CVR), format/creative personalization and system resource allocation. - Research & develop a global advanced advertising delivery system through frontier technologies, including ML/DL, RL, LLM and also scaling law in ads recommendation. - Design & Set up system framework and standard to continuously improve overall efficiency and meet different vertical business needs. - Work with product and business teams from various scenarios with global impact.
Qualifications
Minimum Qualifications: - Currently pursuing a Bachelor's in Computer Science, Mathematics, Statistics, or a related technical discipline. - Solid programming skills, proficient in C/C++ and Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. - Good analytical thinking capability. Essential knowledge and skills in statistics. - Good theoretical grounding in deep learning concepts and techniques. - Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet), familiar with its architecture and implementation mechanism. Preferred Qualifications: - Good knowledge in one of the following fields: Factorization Machine, Uplift Modeling, Diffusion Models, Reinforcement Learning. - Basic understanding of large recommendation system and ads serving system concepts.
Job Information
【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $45- $45.
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
Machine Learning Internship Market
Who's Hiring
- TikTok40

- ByteDance8

- Meta7

- TikTok USDS JV6
- AMD5

Top Industries Hiring
- Technology & Software
- Science & Research
- Food & Beverage
- Investment & Asset Management
- Biotechnology & Pharmaceuticals
Tips for Your Machine Learning Internship Search
Apply before the fall recruiting window closes
Large employers in technology, finance, and research open summer internship applications the preceding fall, often filling cohorts before spring semester begins. Smaller companies and co-op programs post closer to start dates, so check listings consistently rather than waiting for a single season.
Build a portfolio before you send a single application
Machine learning intern screens rely on something reviewable. Two or three documented projects with linked GitHub repositories, Jupyter notebooks, or published analyses give recruiters concrete evidence of what you can do with data, models, and code. Coursework in linear algebra, statistics, and deep learning fills in the formal foundation.
Work your campus network and apply directly at the same time
Campus career fairs surface structured internship programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts alongside those campus relationships widens the pool you can realistically reach.
Practice the technical screen out loud before you apply
Machine learning intern interviews typically involve a coding screen on data structures, algorithms, and sometimes applied modeling problems. Practice explaining your reasoning as you work, not just producing a final answer, since interviewers weigh how you think through a problem as heavily as whether you get it right.
Target structured machine learning programs early
Larger companies run rotational and cohort-based internship programs specifically designed to train people new to machine learning and applied AI. These programs recruit early, fill fast, and often have a formal application window. Identify the ones that match your background and apply in the first wave of their recruiting cycle.
Set your work-type filter before you start searching
On-site roles are 68% of the machine learning internships listed here. Decide what you can actually commit to before you start sorting through listings. Filtering by location and work type upfront means you spend time on roles you can take, not ones you'll decline after the screen.
Machine Learning Internships: Frequently Asked Questions
How do I get a machine learning internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. The concrete artifact that gives recruiters something to assess is a portfolio of documented projects with linked code or published notebooks. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a machine learning internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it is performance on real deliverables, available headcount on the team, and return-offer timing at that company. The practical approach is to treat every project and code review as the interview for the role you want next, without planning your career around an offer that may not come.
When should I apply for machine learning internships?
Earlier than most expect. Large employers, particularly in technology and finance, recruit summer interns the preceding fall, sometimes opening applications in August or September. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Check listings regularly rather than waiting for a single application season.
Are machine learning internships paid?
Most professional machine learning internships in the United States are paid. Compensation varies by company size, industry, and location, and many employers disclose a pay range directly in the listing. Where a range appears, you'll see it in the posting itself.
What should a machine learning internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools and frameworks used and link to the code repository or published analysis so a recruiter can review the actual work. Add relevant coursework in areas like linear algebra, statistics, and deep learning. Keep the resume to one page.
Are there remote machine learning internships?
Yes. Remote and hybrid roles make up 32% of the machine learning internship listings here, with the rest on-site. Remote cohorts fill fast, so apply early and filter by work type to see them before they close.
Can international students get machine learning internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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