Agent Engineer Internships
Agent engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building and deploying autonomous AI systems, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated across {{top_industries_phrase}}, with TikTok, ByteDance, and Netic among the employers posting roles now.
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Machine Learning Engineer Intern (E-Commerce Supply Chain & Logistics-LLM / Agent )- 2027 Summer
Location :
Seattle
Employment Type :
Intern
Job Code :
A217085A
Responsibilities
Team Introduction: 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. 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: - 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.
Qualifications
Minimum Qualifications: - Currently pursuing a Undergraduate in Software Development, Computer Science, Computer Engineering 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. Preferred Qualifications: - 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.
Job Information
【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $42.75- $42.75.
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 Summer
Location :
Seattle
Employment Type :
Intern
Job Code :
A217085A
Responsibilities
Team Introduction: 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. 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: - 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.
Qualifications
Minimum Qualifications: - Currently pursuing a Undergraduate in Software Development, Computer Science, Computer Engineering 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. Preferred Qualifications: - 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.
Job Information
【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $42.75- $42.75.
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
Agent Engineer Internship Market
Who's Hiring
Tips for Your Agent Engineer Internship Search
Apply earlier than you think necessary
Large employers recruiting summer agent engineer interns open applications the preceding fall, often months before the role starts. Smaller companies and co-op programs post closer to start dates. Check listings on a regular cadence so you catch both waves and don't miss an employer that moves quietly and fast.
Build a portfolio before you apply
Agent engineer intern hiring teams want something to evaluate beyond your GPA. Build two or three complete projects, document each one clearly, and publish the code in a linked GitHub repository. A working agent that calls external tools or chains LLM steps demonstrates exactly what intern teams are looking to hire.
Work your campus network and apply directly at the same time
Campus career fairs surface structured programs that your university has relationships with, 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 increases your chances of landing in front of a team early.
Practice your technical screen out loud before the first interview
Agent engineer intern screens typically involve a coding assessment covering data structures, algorithms, and system design, often paired with questions about LLM APIs or agent architectures. Practice solving problems out loud and explaining your reasoning step by step, since interviewers weigh how you think through a problem as much as whether you reach the right answer.
Target structured internship programs at larger employers
Many large technology and enterprise AI companies run cohort-based or university-track internship programs designed to bring agent engineering talent in at the early-career stage. These programs recruit earlier than standard internship postings and fill fast, so identify the ones that match your background and apply in the first wave.
Set your work-type filter before you start
On-site roles are 100% of the agent engineer internships listed here. Decide what location and work arrangement you can commit to before you start applying, then filter by work type so you're only sorting through roles you can actually accept. On Migrate Mate, the work-type filter applies instantly and keeps your results relevant.
Agent Engineer Internships: Frequently Asked Questions
How do I get an agent engineer internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern stage. For agent engineer candidates, a linked GitHub repository showing a working agent, tool-use pipeline, or LLM integration gives recruiters something concrete to assess. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an agent engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. For agent engineer interns, what actually drives it is the quality of your work on real production tasks, available headcount on the team at offer time, and how early you signal interest. Position for a return offer without counting on one by treating every deliverable as a portfolio piece.
When should I apply for agent engineer internships?
Earlier than most candidates expect. Large tech and enterprise employers recruiting summer cohorts open applications the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post closer to start dates, so agent engineer internship openings appear year-round. Checking listings regularly means you won't miss an early wave from an employer that moves fast.
Are agent engineer internships paid?
Most professional agent engineer internships in the United States are paid. Compensation varies by company size, industry, and location, and the specifics depend on what each employer discloses. Listings show compensation details where the employer has included them, so you can compare opportunities as you apply.
What should an agent engineer internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that show the tools you used, the problem you solved, and where to see the work, such as a linked GitHub repository containing a working agent or multi-step LLM pipeline. Add relevant coursework in machine learning, NLP, or systems design, and keep the whole document to one page.
Are there remote agent engineer internships?
Yes. Remote and hybrid roles make up 0% of the agent engineer internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants from across the country, so apply early and filter by work type to see them before they close.
Can international students get agent 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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