Machine Learning Research Intern (Winter 2027)

Realm Labs

Sunnyvale, CAOn-siteFull time

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Location: Sunnyvale, CA
Work style: On-site
Job type: Full time
Posted: Oct 24; 1 day ago

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About the company

Realm Labs

Computer and Network Security · 11 to 50 employees

The Runtime AI Observability and Control platform for the modern enterprise. AI doesn't think in natural language. It thinks math. Realm Labs reads the math in real time to catch hallucinations, prompt injection, and unsafe responses before they become brand-damaging incidents. Works with any chatbot, copilot, or agent.

Realm Labs on LinkedIn

What you'll do

The intern will conduct research on trust and safety in LLMs, focusing on areas like prompt injection, safety alignment, and interpretability.
They will also engage in applied machine learning and software engineering tasks to support these research goals.

What you need

Candidates must be PhD students or researchers with peer-reviewed publications and strong experience in machine learning and deep learning.
Proficiency in Python and familiarity with tools like PyTorch, HuggingFace, and cloud platforms is required.
Education: a postgraduate degree

Key skills

Machine LearningDeep LearningLLMPythonPytorchHuggingfaceTransformersResearchSoftware EngineeringGitUnixJupyterAWSGCPNLPComputer Vision

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Read the full posting here

ROLE OVERVIEW 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. EXPECTED BACKGROUND: ML * 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 COMPENSATION & BENEFITS * Market aligned compensation for interns in the bay area. REQUIREMENTS * 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.