Research Scientist Intern (Applied Machine Learning-Enterprise) - 2026 Summer (BS/MS)
ByteDance · San Jose, CA
- On site
- Internship
- $89,000 / year
- San Jose, CA
Job highlights
- Internship in Applied Machine Learning at ByteDance.
- Focus on building big model service platforms.
- Utilize LLM, PyTorch, and TensorFlow.
- Gain hands-on industry experience.
- 12-week program with development opportunities.
About the role
About the Role
The Applied Machine Learning Enterprise team at ByteDance is seeking talented Research Scientist Interns specializing in Applied Machine Learning and Large Language Models (LLMs) for Summer 2026. This internship offers students industry exposure and hands-on experience in developing and operating a big model service platform, providing businesses with Model-as-a-Service (MaaS) solutions.
Internship Experience
Internships at ByteDance are designed to provide students with practical experience, foster fundamental skill development, and help explore potential career paths. You will engage in a vibrant blend of social events and development workshops. Utilize your knowledge in real-world scenarios, laying a strong foundation for personal and professional growth during this 12-week program.
Application Information
Candidates may apply to a maximum of two positions. Applications will be reviewed on a rolling basis, so early application is encouraged. Please clearly state your availability (Start date, End date) on your resume. Note that this application limit applies globally to ByteDance/TikTok and its affiliates.
Summer Start Dates 2026
- May 11th, 2026
- May 18th, 2026
- May 26th, 2026
- June 8th, 2026
- June 22nd, 2026
Responsibilities
- Building a next-generation big model as a service platform to serve hundreds of LLM-based applications.
- Developing and maintaining the big model as a service platform, including offline training/finetuning, online inference, model management, and resource orchestration.
- Managing a huge number of GPU resources and providing computing power efficiently.
Minimum Qualifications
- Currently pursuing a Bachelors or Masters in Computer Science or a related technical field.
- Proficiency in deep learning frameworks such as PyTorch or TensorFlow.
- Experience with software development in C++, Python, or Go.
- Good teamwork and communication skills; practical experience in relevant business scenarios is preferred.
- Strong software programming capabilities with good code design and coding style.
- Must obtain and maintain work authorization in the country of employment.
Preferred Qualifications
- Experience in NLP and LLM technologies.
- Experience or research in Alignment for Large Language Models.
- Experience in ModelOps, including large model management and finetuning workflow management.
- Contributions to top-tier conference papers (NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD) are a significant plus.
Key skills/competency
- Applied Machine Learning
- Large Language Models (LLM)
- Research Scientist
- Internship
- Software Development
- Deep Learning
- PyTorch
- TensorFlow
- Python
- Model-as-a-Service (MaaS)
Skills & topics
- Research Scientist
- Intern
- Applied Machine Learning
- Large Language Models
- LLM
- Deep Learning
- PyTorch
- TensorFlow
- Software Development
- Machine Learning Engineer
How to get hired
- Tailor your resume: Highlight your Machine Learning, LLM, PyTorch/TensorFlow, and C++/Python/Go experience. Clearly state your availability dates.
- Showcase your projects: Emphasize any relevant personal projects, academic research, or contributions to top-tier conferences.
- Prepare for technical interviews: Be ready to discuss deep learning concepts, algorithm design, and demonstrate strong coding skills in Python or C++.
- Understand the company culture: Research ByteDance's mission and values; express your curiosity and desire to make an impact.
- Apply early: Applications are reviewed on a rolling basis for the 2026 summer internship program.
Technical preparation
Master PyTorch or TensorFlow for deep learning tasks.,Practice Python or C++ coding and algorithm design.,Study LLM architecture and alignment techniques.,Familiarize yourself with ModelOps principles.
Behavioral questions
Describe a challenging team project you faced.,How do you handle tight deadlines?,Tell me about a time you learned a new skill.,How do you approach problem-solving independently?
Frequently asked questions
- What are the primary responsibilities for a Research Scientist Intern at ByteDance?
- As a Research Scientist Intern at ByteDance, you will be involved in building and maintaining a next-generation big model service platform. This includes working on offline training/finetuning, online inference, model management, and efficient GPU resource orchestration, focusing on applied machine learning and LLM technologies.
- What qualifications are essential for the Research Scientist Intern position at ByteDance?
- Essential qualifications include pursuing a Bachelors or Masters in Computer Science or a related technical field, proficiency in deep learning frameworks like PyTorch or TensorFlow, and experience with software development in C++, Python, or Go. Strong programming capabilities and teamwork skills are also required.
- What makes the Applied Machine Learning Enterprise team at ByteDance unique?
- This team uniquely combines system engineering and machine learning to create a robust big model service platform. It provides businesses with Model-as-a-Service solutions, serving both big model vendors and users with cutting-edge LLM technology.
- How competitive are the internship opportunities at ByteDance for Summer 2026?
- ByteDance internships are highly competitive, attracting top talent globally. Early application, a strong academic background, relevant project experience, and demonstrated skills in deep learning and software development are crucial for consideration.
- What kind of hands-on experience can I expect as a Research Scientist Intern?
- You can expect hands-on experience in developing fundamental skills for real-world applications within a rapidly growing tech company. This includes contributing to a significant platform, working with large-scale systems, and collaborating with experienced professionals in the field of applied machine learning.
- Can I apply to more than one internship role at ByteDance?
- Yes, you can apply to a maximum of two positions at ByteDance or its affiliates globally. Applications are reviewed on a rolling basis, so it's recommended to apply early for your preferred roles.
- What is the duration and expected start dates for the Summer 2026 internship?
- The internship program runs for 12 weeks. Several start dates are available in May and June 2026, including May 11th, May 18th, May 26th, June 8th, and June 22nd.
- Does ByteDance offer any benefits for interns?
- Yes, ByteDance offers interns day-one access to health insurance, life insurance, and wellbeing benefits. Interns also receive 10 paid holidays and paid sick time, with potential eligibility for a housing allowance if not working remotely.