3 часа назад
AI Researcher (Legal AI)
180 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Researcher (Legal AI): Building and shipping LLM and deep-learning systems for contract intelligence, including long-context legal reasoning, information extraction, comparison, drafting, and editing, with an accent on accuracy, explainability, and robustness. Focus on designing evaluation infrastructure, mitigating hallucinations, applying fine-tuning and inference optimization, and moving research prototypes into production.
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: $180,000–$200,000 per year
Company
is a contract intelligence platform that applies AI to legal document review and has raised a Series B while growing rapidly.
What you will do
- Own the AI research roadmap from problem identification and experiment design through prototyping and production deployment.
- Advance systems for reasoning over long-context legal corpora, contract comparison and redlining, information extraction, automated drafting, and document editing.
- Research hallucination detection and resolution, calibration, explainability, and grounded generation for high-stakes legal use cases.
- Apply fine-tuning, PEFT, distillation, agentic systems, long-context modeling, and reasoning techniques 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 present 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.
- Deep hands-on experience in deep learning research and development, particularly with LLMs.
- Strong knowledge of PyTorch, JAX, or TensorFlow and the surrounding open-source ecosystem.
- Expertise in at least one area including agentic systems, reasoning, PEFT, quantization, inference optimization, hallucination mitigation, novel deep-learning architectures, or robust LLM evaluation.
- Evidence of exceptional ability through research, a shipped system, open-source contribution, competition result, or comparable achievement.
- Excellent communication skills and a bias toward shipping measurable, pragmatic solutions.
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, or financial domains.
- Prior work on hallucination detection, calibration, or interpretability.
- Experience building from zero in fast-paced startup or research environments.
Culture & Benefits
- Meaningful equity in a rapidly scaling company.
- Medical, dental, and vision insurance, plus HSA, FSA, and life insurance.
- 401(k) program, commuter benefits, and unlimited PTO.
- Downtown San Francisco office with catered lunch five days a week, snacks, coffee, an in-building gym, and a dog-friendly environment.
- High-responsibility startup environment focused on pragmatic solutions, urgency, resourcefulness, and product impact.
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