Machine Learning Research Intern (Fall 2026)
On-siteSunnyvale, California, United States
Job Summary
Conduct ML research on trust and safety in large language models, focusing on prompt injections, safety alignment, privacy, and interpretability. Execute experiments to pose relevant questions, find answers in existing literature, and train or evaluate deep models using PyTorch, Hugging Face, and transformers. Develop software engineering solutions with Python, utilizing Unix, Git, and cloud environments on AWS or GCP to build guardrails and technical articles. Read and write research papers to plan and execute experiments, potentially fine-tuning LLMs or applying interpretability methods. Participate in a fall 2026 internship with market-aligned compensation for Bay Area interns, requiring authorization to work in the USA or CPT approval.
Required Qualifications
- Research experience
- Ability to pose relevant questions, find answers in existing literature or plan and execute experiments
- Ability to read and write research papers and technical articles
- Machine learning tools: pytorch, huggingface, transformers, datasets
- Applied deep learning and LLM experience
- Training and evaluating deep models
- unix
- git
- basic clouds usage on AWS and/or GCP
- jupyter
- python
- Must be authorized to work in the USA or must be able to obtain CPT (Curricular Practical Training) approval from host university
Desired Qualifications
- finetuning LLMs, multi-modal LLMs
- Familiarity with ML[NLP,LLM,Vision] interpretability methods, sparse autoencoders, linear probes
- programming languages well-roundedness
- experience in statically-typed and functional languages
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.