AI Researcher (LLM)

Location: San Francisco, United States; on-site. Relocation assistance and visa and green card support are available for successful applicants moving to San Francisco.

Salary: $200,000–$325,000 per year.

Company

hirify.global builds an AI contract intelligence platform for reviewing, searching, comparing, editing, and analyzing legal agreements.

What you will do

• Own the research roadmap from problem identification and experiment design through prototyping and production deployment.
• Advance AI systems for long-context legal reasoning, contract comparison and redlining, information extraction, drafting, and editing.
• Research hallucination detection and resolution, calibration, explainability, agentic systems, long-context modeling, and reasoning.
• Apply fine-tuning, PEFT, distillation, quantization, and inference optimization to improve model accuracy, speed, and cost.
• Build datasets, benchmarks, evaluation infrastructure, and metrics for complex legal text.
• Partner with Engineering and Product to ship prototypes, document technical findings, and communicate results to technical and non-technical audiences.

Requirements

• Ph.D. in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field, or equivalent industry research experience.
• Evidence of exceptional ability through research, a shipped system, open-source contribution, competition result, or comparable achievement.
• Hands-on deep learning research and development experience, particularly with LLMs.
• Strong knowledge of PyTorch, JAX, or TensorFlow and the surrounding open-source ecosystem.
• Expertise in at least one of agentic systems, reasoning, PEFT, quantization, inference optimization, hallucination mitigation, novel deep learning architectures, or robust LLM evaluation.
• Excellent communication skills and a bias toward shipping measurable working prototypes.

Nice to have

• Publications at leading ML/AI venues or equivalent strong industry research contributions.
• Experience with long-context modeling, retrieval, or grounded generation in legal, medical, financial, or other high-stakes domains.
• Experience with hallucination detection, calibration, or interpretability.
• Experience building from zero in a startup or research environment.

Culture & Benefits

• Fast-paced startup environment with substantial ownership and responsibility.
• Competitive compensation and meaningful equity.
• Medical, dental, and vision plans, plus HSA, FSA, and life insurance.
• 401(k), commuter benefits, and unlimited PTO.
• Downtown San Francisco office with catered lunch, snacks, coffee, an in-building gym, and a dog-friendly environment.