Artificial Intelligence Scientist Internships
Artificial intelligence scientist internships give university students, recent graduates, and early-career switchers hands-on project experience building and evaluating AI systems, mentorship from working AI scientists, and, at many employers, a path toward a full-time offer. Openings are concentrated across Technology & Software and Healthcare & Medical Services, with ByteDance, Meta, and TikTok among the employers posting roles now.
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Applied Scientist Intern (Recommendation AI Lab) - 2026 Start (PhD)
Location
:
San Jose
Employment Type
:
Intern
Job Code
:
A125123
Responsibilities
Global Monetization Product and Technology team are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business integrity.
Topic Content: This topic dives deep into TikTok's core global advertising scenarios, driving innovation and implementation of the cutting-edge generative technologies in search, recommendation, and advertising. By deeply integrating foundation models with the advertising business, we address key technical challenges in Large Recommender Models and Large Language Models (LLMs) to build a next-generation intelligent advertising engine with autonomous decision-making capabilities.
Our research covers cutting-edge directions, including Large Recommender Model scaling laws, end-to-end unified modeling, generative full-link technologies (retrieval, ranking, AIGC material generation, bidding), intelligent advertising placement agents, ultra-long sequence modeling, and causal inference. We tackle extreme challenges of trillion-level features and millisecond responses, advancing advertising recommendation toward the foundation model paradigm to achieve dual improvements in monetization efficiency and user experience.
We are looking for talented individuals to join us for an internship in 2026. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.
PhD internships at Our Company provides students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
Responsibilities:
- Explore scaling laws for foundation models in recommendation and advertising, and build a foundation model based on unified multimodal semantic modeling.
- Build an intelligent ad placement system optimized for users' Long-Term Value (LTV) and long-term ROAS, achieving an optimal balance between commercial value and user experience.
- Optimize the full-process training and online inference framework for foundation models, balance computing power costs and real-time response performance, and resolve the performance-latency trade-off in real-world deployment.
Minimum Qualification(s):
- Currently pursuing a PhD in Computer Science, Computer Engineering, or a related technical discipline.
- Modeling experience in one or more of the areas: Ads, Search engine, Recommender System, NLP/CV.
- Have a solid foundation in algorithms related to LLMs, including but not limited to comprehensive learning and practical experience in areas such as single-modal LLM application and deployment.
- Priority will be given to candidates with research results and extensive practical relevant fields, such as outstanding performance in natural language processing, computer vision, data modeling, or algorithm optimization, etc.
- Excellent programming abilities with a strong command of data structures and fundamental algorithms. For traditional coding roles, proficiency in C/C++ is required; for intelligent coding roles, proficiency in Python is required.
- Strong publications record in top conferences (e.g., ICLR, NeurIPS, ICML, ACL, EMNLP, NACCL, CVPR, ICCV, and ECCV) is a plus.
【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
Artificial Intelligence Scientist Internship Market
Who's Hiring



Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
Tips for Your Artificial Intelligence Scientist Internship Search
Apply in the fall for summer internships
Large employers, including major research labs and technology companies, open summer internship applications the preceding fall, often before October ends. Smaller companies and co-op programs post closer to their start dates. Check for openings consistently across the full year rather than waiting until spring.
Build a project portfolio before you apply
Hiring teams assessing artificial intelligence scientist candidates expect limited work history and look for documented project work instead. Maintain a public code repository with at least two or three complete projects that name the models, datasets, and frameworks you used. A linked, readable project record is the artifact that moves your application past an initial screen.
Work your campus network and apply directly at the same time
Campus career fairs surface structured internship programs tied specifically 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 campus activity widens the pool you reach and catches openings that never appear at a fair.
Practice your technical screen out loud before applying
Artificial intelligence scientist intern interviews typically include a coding screen covering machine learning fundamentals, probability, and algorithm design, followed by a problem-solving conversation where you explain your reasoning step by step. Practice explaining your thought process aloud as you work through problems, since interviewers weigh how you reason as much as whether you reach the correct answer.
Target structured AI internship programs early
Many large technology companies and research organizations run dedicated AI or machine learning residency and research internship programs designed specifically for candidates new to the field. These programs recruit well ahead of their start dates and fill in the first application wave, so identify the ones that fit your background and apply as soon as they open.
Set your work-type filter before you start
On-site roles are 83% of the artificial intelligence scientist internships listed here. Decide what you can commit to before you begin searching, then filter by location and work type so you spend your time on roles you can actually accept rather than sorting through listings that don't fit your situation.
Artificial Intelligence Scientist Internships: Frequently Asked Questions
How do I get an artificial intelligence scientist internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. A GitHub repository with documented AI or machine learning projects gives recruiters something concrete to assess. Apply directly to companies running smaller cohorts and attend campus career fairs, where recruiters often make faster decisions for students they meet in person.
Can an artificial intelligence scientist 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 consistent delivery on real project work, available headcount on the team, and understanding the employer's return-offer timeline early in the internship. Position yourself by treating every assignment as if it were a full-time deliverable, without counting on an offer materializing.
When should I apply for artificial intelligence scientist internships?
Earlier than most candidates expect. Large employers, including major tech companies and research labs, recruit summer interns the preceding fall, meaning applications for June start dates often open in August or September. Smaller companies and co-op programs post closer to their actual start dates, so internship openings appear year-round and checking regularly pays off.
Are artificial intelligence scientist internships paid?
Most professional artificial intelligence scientist internships in the United States are paid. Compensation varies by company size, industry, and location. Listings show pay where the employer discloses it, so you can compare directly when the information is available.
What should an artificial intelligence scientist internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools, frameworks, and datasets used, and link directly to the code repository or published analysis so reviewers can verify the work. Add relevant coursework in machine learning, statistics, and programming. Keep the entire resume to one page.
Are there remote artificial intelligence scientist internships?
Yes. Remote and hybrid roles make up 17% of the artificial intelligence scientist internship listings here, with the rest on-site. Remote cohorts tend to fill quickly, so apply early once you've decided what arrangement works for you and filter by work type to see those listings first.
Can international students get artificial intelligence scientist 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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