The Role
Conduct machine learning research and applied ML/software engineering focused on trust and safety in large language models, including prompt injection, safety alignment, privacy, confidentiality, and interpretability. Responsibilities include reviewing literature, formulating research questions, designing experiments, training and evaluating deep models, and communicating findings through technical writing and research papers.
Summary Generated by Built In
Role Overview
Expected Background: ML
Expected Background: Software Engineering
Compensation & Benefits
Requirements
This internship is focused on ML research mixed with applied ML and software engineering. Topic of the internship is around trust and safety in LLMs such as:
- prompt injections
- safety alignment and guardrails
- privacy and confidentiality
- interpretability
Other topics closer aligned with the student's research may be considered.
- 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.
- PhD student or student at any level with research experience and peer-reviewed published work.
- Machine learning tools: pytorch, huggingface, transformers, datasets.
- Applied deep learning and LLM experience.
- Training and evaluating deep models.
- (nice to have) finetuning LLMs, multi-modal LLMs.
- (nice to have) Familiarity with ML[NLP,LLM,Vision] interpretability methods, sparse autoencoders, linear probes.
Expected Background: Software Engineering
- Development environments and tools:
- unix, git, basic clouds usage on AWS and/or GCP
- jupyter
- Programming:
- python
- (nice to have) “programming languages well-roundedness”
- experience in statically-typed and functional languages
- Market aligned compensation for interns in the bay area.
- Must be authorized to work in the USA or must be able to obtain CPT (Curricular Practical Training) approval from host university.
- The internship is expected to last at least 3 months and intersect most of the period starting from January, 2027 through end of March 2027.
Skills Required
- Research experience, including formulating questions, reviewing literature, planning experiments, and executing research
- Ability to read and write research papers and technical articles
- PhD student or student at any level with research experience and peer-reviewed published work
- Experience with PyTorch, Hugging Face, Transformers, and Datasets
- Applied deep learning and large language model experience
- Experience training and evaluating deep models
- Familiarity with LLM fine-tuning and multimodal LLMs
- Familiarity with ML, NLP, LLM, or vision interpretability methods
- Familiarity with sparse autoencoders and linear probes
- Experience with Unix, Git, basic AWS or GCP usage, and Jupyter
- Programming experience in Python
- Well-rounded programming language experience, including statically typed and functional languages
- Authorization to work in the USA or ability to obtain CPT approval from a host university
- Availability for an internship lasting at least three months and overlapping most of January through March 2027
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The Company
What We Do
Realm Labs is an AI security company focused on helping enterprises secure and monitor AI applications and data. It develops an AI-based authorization platform designed to prevent data leaks and enable secure generative AI usage with features like agent security and guardrails.
