Llm Engineer Internships
Llm engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building and fine-tuning large language models, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Roles cover Automotive and Technology & Software, with TikTok and Nio Usa among the employers posting roles now.
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See related jobsMachine Learning Engineer Intern (E-Commerce Supply Chain & Logistics-LLM / Agent) - 2027 Start (PhD)
Location
:
Seattle
Employment Type
:
Intern
Job Code
:
A122209A
Responsibilities
Join the E-commerce Global Supply Chain and Logistics team at TikTok. We are building AI-native capabilities for global logistics, including logistics agents, address intelligence, context engineering, agent evaluation, and workflow automation for complex supply chain operations. This role is for candidates who want to apply LLMs, agents, reinforcement learning, retrieval systems, and software engineering to real logistics problems at global scale.
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:
- Responsible for supporting the development of large language models, agent systems, and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
- Participate in building domain LLM model capabilities for e-commerce supply chain and logistics, including continued pre-training / CPT, SFT, preference optimization, reinforcement learning such as GRPO / PPO, reward or judge model design, model compression, inference cost and latency optimization, and landing scenarios such as address correction, trajectory prediction, logistics cost analysis, customer service semantic understanding, and root-cause analysis.
- Support multimodal and structured understanding capabilities for logistics and supply chain scenarios, focusing on unified modeling of text, numerical time series, events, product attributes, images, and documents to support scenario simulation, explainable prediction, and integration with existing forecasting or decision systems.
- Support core agent capability development for team and business workflows, including AutoResearch, Harness-based task decomposition and execution loops, RAG and knowledge retrieval, context understanding, skill / tool use, evidence grounding, and Clone & Adapt workflows for reusing proven solutions across markets and logistics scenarios.
- Support agent architecture, engineering, evaluation, and evolution work, including runtime orchestration, memory and state management, model / tool routing, permission-safe execution, observability, benchmark and Golden Set evaluation, badcase attribution, regression testing, online feedback loops, and continuous improvement of context, skills, workflows, and model behavior.
Minimum Qualifications:
- Currently pursuing a PhD degree in artificial intelligence, computer science, operations research, automation, statistics, mathematics, or a related discipline
- Experience with LLMs, agents, RAG, tool use, post-training, evaluation, or applied NLP systems.
- Strong programming ability in Python and familiarity with at least one production-oriented language such as Java, C++, Go, or TypeScript.
- Familiarity with machine learning and deep learning frameworks such as PyTorch, TensorFlow, JAX, vLLM, Hugging Face, LangChain, LlamaIndex, or similar ecosystems.
- Research or project experience in coding agents, long-horizon agents, computer-use agents, agent harnesses, workflow orchestration, or automated evaluation systems.
- Experience with LLM post-training, including SFT, DPO, PPO, GRPO, RLHF, RLAIF, reward modeling, counterfactual data, or evidence-driven decision training.
- Experience building benchmarks or evaluation datasets from real user questions, including taxonomy design, golden answers, error attribution, and regression testing.
- Experience with e-commerce, logistics, operations research, data platforms, knowledge graphs, or enterprise knowledge management systems.
- Published papers, strong open-source contributions, or hands-on projects in LLMs, agents, NLP, data mining, machine learning systems, evaluation, or AI engineering.
【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
Machine Learning Engineer Intern (E-Commerce Supply Chain & Logistics-LLM / Agent) - 2027 Start (PhD)
Location
:
Seattle
Employment Type
:
Intern
Job Code
:
A122209A
Responsibilities
Join the E-commerce Global Supply Chain and Logistics team at TikTok. We are building AI-native capabilities for global logistics, including logistics agents, address intelligence, context engineering, agent evaluation, and workflow automation for complex supply chain operations. This role is for candidates who want to apply LLMs, agents, reinforcement learning, retrieval systems, and software engineering to real logistics problems at global scale.
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:
- Responsible for supporting the development of large language models, agent systems, and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
- Participate in building domain LLM model capabilities for e-commerce supply chain and logistics, including continued pre-training / CPT, SFT, preference optimization, reinforcement learning such as GRPO / PPO, reward or judge model design, model compression, inference cost and latency optimization, and landing scenarios such as address correction, trajectory prediction, logistics cost analysis, customer service semantic understanding, and root-cause analysis.
- Support multimodal and structured understanding capabilities for logistics and supply chain scenarios, focusing on unified modeling of text, numerical time series, events, product attributes, images, and documents to support scenario simulation, explainable prediction, and integration with existing forecasting or decision systems.
- Support core agent capability development for team and business workflows, including AutoResearch, Harness-based task decomposition and execution loops, RAG and knowledge retrieval, context understanding, skill / tool use, evidence grounding, and Clone & Adapt workflows for reusing proven solutions across markets and logistics scenarios.
- Support agent architecture, engineering, evaluation, and evolution work, including runtime orchestration, memory and state management, model / tool routing, permission-safe execution, observability, benchmark and Golden Set evaluation, badcase attribution, regression testing, online feedback loops, and continuous improvement of context, skills, workflows, and model behavior.
Minimum Qualifications:
- Currently pursuing a PhD degree in artificial intelligence, computer science, operations research, automation, statistics, mathematics, or a related discipline
- Experience with LLMs, agents, RAG, tool use, post-training, evaluation, or applied NLP systems.
- Strong programming ability in Python and familiarity with at least one production-oriented language such as Java, C++, Go, or TypeScript.
- Familiarity with machine learning and deep learning frameworks such as PyTorch, TensorFlow, JAX, vLLM, Hugging Face, LangChain, LlamaIndex, or similar ecosystems.
- Research or project experience in coding agents, long-horizon agents, computer-use agents, agent harnesses, workflow orchestration, or automated evaluation systems.
- Experience with LLM post-training, including SFT, DPO, PPO, GRPO, RLHF, RLAIF, reward modeling, counterfactual data, or evidence-driven decision training.
- Experience building benchmarks or evaluation datasets from real user questions, including taxonomy design, golden answers, error attribution, and regression testing.
- Experience with e-commerce, logistics, operations research, data platforms, knowledge graphs, or enterprise knowledge management systems.
- Published papers, strong open-source contributions, or hands-on projects in LLMs, agents, NLP, data mining, machine learning systems, evaluation, or AI engineering.
【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
Llm Engineer Internship Market
Who's Hiring
Top Industries Hiring
- Automotive
- Technology & Software
Tips for Your Llm Engineer Internship Search
Apply earlier than the semester you want to start
Large tech companies and AI research labs recruit summer interns the preceding fall, often closing cohorts before winter break. Smaller companies and co-op programs post closer to start dates, so openings appear throughout the year. Start your search earlier than feels necessary and you will avoid competing for the last few seats.
Build a public GitHub repository before you apply
Recruiters hiring llm engineer interns cannot rely on past job titles, so a linked repository showing you built, fine-tuned, or evaluated a language model end to end gives them something concrete to assess. Document what the project does, which frameworks and datasets you used, and what you learned. Two strong projects outperform a long list of tools.
Work your campus network and apply directly at the same time
Campus career fairs surface structured internship programs tied directly to your university, and professors running research labs or teaching machine learning courses often know which employers recruit from your school before roles appear publicly. Apply directly to companies running smaller cohorts alongside your campus activity so you reach employers who never recruit on campus at all.
Practice your technical screen out loud before your first interview
Llm engineer intern screens typically combine a coding round on data structures and algorithms with questions about model architecture, training, and evaluation. Practice working through problems out loud and explaining your reasoning step by step, not just writing correct code silently. Interviewers weigh how you think through a problem as much as the final answer you reach.
Target structured AI and research internship programs early
Large technology companies and AI research organizations run cohort-based internship programs built to train people new to the field, recruiting a full class of llm engineer interns each cycle. These programs fill in the first application wave, so identify the ones that match your background, prepare your materials, and submit before the cohort closes.
Set your work-type filter before you start searching
On-site roles are 100% of the llm engineer internships listed here. Decide what you can commit to before you start reviewing postings, then filter by location and work type so you are not spending time on roles you cannot accept. Sorting by work type first makes your whole search faster and more focused.
Llm Engineer Internships: Frequently Asked Questions
How do I get an llm engineer internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited experience at the intern level. The concrete artifact that moves your application forward is a linked GitHub repository showing you have built, fine-tuned, or evaluated a language model end to end. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an llm 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 for llm engineer interns is concrete performance on real project work, available headcount on the team, and how early in the internship you signal interest in returning. Position for one by doing excellent work, but do not count on it when planning your job search.
When should I apply for llm engineer internships?
Earlier than most candidates expect. Large tech and research employers recruit summer interns the preceding fall, sometimes opening applications in August or September. Smaller companies, startups, and co-op programs post much closer to start dates, so openings appear year-round. Checking listings regularly rather than waiting for a single season gives you the widest window.
Are llm engineer internships paid?
Most professional llm engineer internships in the United States are paid. Compensation varies by company size, industry, and location. Where employers disclose pay, it appears directly in the listing, so you can compare opportunities before you apply without needing to ask upfront.
What should an llm engineer internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the models, frameworks, and datasets you worked with and link directly to the code on GitHub or a public repository. Add relevant coursework in machine learning, natural language processing, or deep learning. Keep the whole document to one page.
Are there remote llm engineer internships?
Yes. Remote and hybrid roles make up 0% of the llm engineer internship listings here, with the rest on-site. Remote cohorts fill fast because they attract candidates across the country, so apply early once you find a role that fits and use the work-type filter to surface them without sorting through positions you cannot take.
Can international students get llm 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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