ML Research Engineer, Trust & Safety

Realm Labs • Sunnyvale, CA

166d

About The Position

This is an individual contributor role blending ML research, applied ML, and software engineering. Topics include trust and safety challenges for large language models (LLMs) and multimodal LLMs (MM-LLMs), such as prompt injection attacks and adversarial robustness, safety alignment and guardrails, privacy and confidentiality, and (mechanistic) interpretability. This is a founding, high-ownership role with direct impact on core product capabilities. You will be expected to build, run, and own systems end-to-end. The role may include limited on-call responsibilities aligned with production ownership.

Requirements

• Demonstrated research experience; PhD in a technical field strongly preferred
• Ability to identify relevant research questions and find answers through literature review or experimentation
• First-author or major contributing authorship on peer-reviewed publications; please list these on your resume or cover letter
• Hands-on experience with PyTorch, HuggingFace (Transformers, Datasets), and applied deep learning
• Experience training and evaluating deep learning models
• Proficiency in Python; experience with Jupyter notebooks
• Unix environments, Git, and basic AWS/GCP usage

Nice To Haves

• LLM fine-tuning, multimodal LLMs, PEFT/LoRA
• Familiarity with ML interpretability methods (mechanistic interpretability, sparse autoencoders, linear probes, NLP/Vision interpretability)
• Programming languages well-roundedness; experience with statically-typed and functional programming languages
• Familiarity with (LLM) deployment tooling like Docker, vLLM, Triton Inference Server or similar

Responsibilities

• Designing and executing research experiments on LLM trust and safety
• Reading, synthesizing, and producing research papers and technical write-ups
• Building, running, and owning systems end-to-end
• Contributing to core product capabilities as a founding team member

Benefits

• Market aligned compensation and benefits
• Founding equity (Equity is a significant component of this role and will be discussed)
• Medical, Dental, Vision, Life insurance, 401-K, In-office lunch etc.
• Visa sponsorship

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree