Role
You will develop and improve our AI systems, including:
- fine-tuning large language models
- developing model evals
- developing and implementing novel search and QA algorithms
- scraping and indexing niche legal datasets
- developing and evaluating large systems of interconnected LLMs
- dealing with hard engineering constraints like latency and expensive model inference
- … and more.
Impact
- Work directly with our founders, legal and research teams, and OpenAI.
- Tackle unsolved research and engineering problems, including the hardest in the world relevant to LLMs in production.
- Help build our applied research organization.
Qualifications
- Evidence of exceptional ML engineering ability.
- Publications in top AI conferences.
- Experience at elite AI research labs (OpenAI, Google Brain, DeepMind).
- Experience working in complex and high-stakes ML domains (self-driving cars, search, ads, quant finance).
- Experience with LLMs or legal is not required.
Experience
- 6+ years experience in ML engineering. Google level would be L4-L6.
Compensation
The expected range of compensation for this role is between $260,000 and $325,000. Additionally, this role is eligible to participate in our equity plan. The successful candidate’s starting salary will be determined based on non-discriminatory factors such as skills, experience, and geographic location.
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