Machine Learning Research Intern (Winter/Spring 2027)
Salary not listed • Sunnyvale, United States • Internship
Posted 6d ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
Job Location
Sunnyvale, United States
Tech Stack
Remote Work Policy
On-site
Employment Type
Internship
Categories
AI Research Engineer
About the job
This internship is focused on ML research mixed with applied ML and software engineering, specifically around trust and safety in LLMs. Topics include prompt injections, safety alignment and guardrails, privacy and confidentiality, and interpretability. Other topics closer aligned with the student's research may also be considered.
Responsibilities
- Conduct ML research and applied ML tasks.
- Perform software engineering related to ML projects.
- Investigate prompt injections in LLMs.
- Develop safety alignment and guardrails for LLMs.
- Address privacy and confidentiality concerns in LLMs.
- Explore interpretability methods for LLMs.
- Pose relevant research questions and find answers through literature or experiments.
- Plan and execute experiments.
- Read and write research papers and technical articles.
Requirements
- PhD student or student at any level with research experience and peer-reviewed published work.
- Experience with machine learning tools such as PyTorch, Hugging Face, Transformers, and Datasets.
- Applied deep learning and LLM experience.
- Experience training and evaluating deep models.
- Familiarity with ML interpretability methods, sparse autoencoders, and linear probes (nice to have).
- Experience with fine-tuning LLMs and multi-modal LLMs (nice to have).
- Experience with development environments and tools like Unix, Git, and basic cloud usage on AWS and/or GCP.
- Proficiency in Python.
- Experience in statically-typed and functional languages (nice to have).
- Must be authorized to work in the USA or able to obtain CPT approval.
- Availability for at least 3 months, starting from January 2027 through March 2027.
Benefits
- Market-aligned compensation for interns in the Bay Area.