- Drive groundbreaking research and engineering projects in the field of Large Language Models (LLMs) within a legal-tech context.
- Tackle complex, unsolved problems, including some of the world's most challenging LLM-related issues in a production environment.
- Collaborate with cross-functional teams to set research and engineering directions for our category-defining company.
- Develop and implement advanced ML algorithms and models to enhance legal-tech platform.
- Stay at the forefront of ML advancements and contribute to pushing the boundaries of LLMs in legal applications.
- Evidence of exceptional ML engineering abilities, with a strong track record of successful ML projects.
- Experience working in complex and high-stakes ML domains such as self-driving cars, search, ads, or quant finance.
- A passion for tackling challenging research and engineering problems.
- Adaptability and the desire to shape the future of legal-tech, regardless of prior experience in the legal industry.
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Machine Learning Engineer - San Francisco, CA, United States - Courteasy
Description
Court Easy AI is seeking a talented and forward-thinking Machine Learning Engineer to join our team. Regardless of your background, if you possess exceptional ML engineering skills, experience in high-stakes ML domains, and a drive to tackle challenging problems, we want you to be a part of our mission. Join us in shaping the future of legal-tech through innovative research and engineering in the realm of Large Language Models (LLMs) for India.