Machine Learning Engineer Internships
Machine learning engineer internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated in 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 Engineer Internship Market
Who's Hiring
- TikTok40

- ByteDance8

- Meta7

- TikTok USDS JV6
- AMD4

Top Industries Hiring
- Technology & Software
- Science & Research
- Food & Beverage
- Investment & Asset Management
- Biotechnology & Pharmaceuticals
Tips for Your Machine Learning Engineer Internship Search
Apply earlier than you think necessary
Large employers at big tech and finance firms open summer cohort applications the preceding fall, often in August or September. Smaller companies and co-op programs post closer to the start date. Set a calendar reminder for late summer and check listings as soon as a new cycle opens so you are not applying to a half-filled cohort.
Build a project portfolio before you apply
Recruiters screening ML intern candidates look for evidence you can write and train models, not a long work history. Publish two or three complete projects on GitHub with clear documentation, noting the dataset, framework, and results. A linked notebook or deployed demo gives interviewers something concrete to discuss before you even reach the technical screen.
Work your campus network alongside direct applications
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. At the same time, apply directly to companies running smaller cohorts that do not recruit on campus. Doing both widens the pool you reach without duplicating effort.
Practice the ML intern technical screen out loud
Most machine learning engineer intern screens include a coding round covering data structures, algorithms, and applied ML problem-solving, sometimes followed by a system design or ML design question. Practice solutions out loud and walk through your reasoning step by step, because interviewers weigh how you think through a problem as much as whether you reach the right answer.
Target structured programs built for new ML practitioners
Large companies run rotational and cohort-based ML internship programs specifically designed to train people new to production machine learning. These programs provide mentorship, defined project rotations, and structured feedback. They recruit early and fill fast, so identify which ones align with your background and apply in the first wave of each cycle.
Set your work-type filter before you start
On-site roles are 70% of the machine learning engineer internships listed here. Decide what you can realistically commit to before you start sorting through listings. Filter by location and work type on Migrate Mate so you are reviewing roles you can actually take, not spending time on postings that require relocation you have not planned for.
Machine Learning Engineer Internships: Frequently Asked Questions
How do I get a machine learning engineer internship?
Lead with coursework, personal projects, and a portfolio rather than work history, hiring teams expect limited experience at the intern level. A GitHub repository with documented ML projects gives recruiters something concrete to assess. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a machine learning engineer 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 project deliverables, available headcount on the team, and whether you understand the return-offer timeline before your internship ends. Treat the offer as a possible outcome worth working toward, not a certainty to count on.
When should I apply for machine learning engineer internships?
Earlier than most candidates expect. Large tech and finance employers open summer internship applications the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post closer to the actual start date, so new openings appear year-round. Checking listings regularly and applying as soon as a role opens gives you the best shot at each cohort.
Are machine learning engineer internships paid?
Most professional machine learning engineer internships in the U.S. are paid. Compensation varies by company size, industry, and location. Where an employer discloses pay, the listing will show it. Unpaid internships exist but are uncommon at established tech, finance, and research organizations running structured programs.
What should a machine learning engineer internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the frameworks and datasets you used, PyTorch, TensorFlow, scikit-learn, and similar tools, and link directly to the code on GitHub or a published notebook. Add relevant coursework in machine learning, linear algebra, and statistics. Keep the resume to one page.
Are there remote machine learning engineer internships?
Yes. Remote and hybrid roles make up 30% of the machine learning engineer internship listings here, with the rest on-site. Remote cohorts fill quickly because they attract applicants from across the country, so apply early and filter by work type to see them before they close.
What is a machine learning research internship and how is it different from an industry ML internship?
Machine learning research internships, offered at labs inside companies like Google DeepMind, Microsoft Research, and Meta FAIR, focus on publishing novel work alongside a research scientist rather than shipping production models. They recruit early, require a strong publication record or research project history, and are highly competitive. Apply in the first wave if a research role fits your goals.
Can international students get machine learning engineer 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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