Job Description

Responsibilities

• Use your experience to design features connecting natural language queries with a large corpus of legal knowledge.
• Build a data architecture you are proud to highlight.
• Use unstructured data to build large scale data sets.
• Work on a team dedicated to ML and Data Science with ownership of multiple projects and products.
• Collaborate with the Product team to understand new features.

Requirements

• At least 7 years of backend engineering experience, at least 2-3 of which were spent building products using LLMs.
• At least 1-2 years of experience fine-tuning LLMs for domain-specific and otherwise custom use-cases.
• At least 1-2 years of experience building or using tooling to evaluate LLMs and LLM-based products, e.g. experience evaluating extractive and abstractive summaries.
• At least 4-5 years of experience deploying custom machine learning models and working on end-to-end ML pipelines, including with unstructured data.
• Experience building semantic search is a plus.
• Python proficiency and working knowledge of SageMaker and Bedrock.
• Strong understanding of Machine Learning, specifically Large Language Models.
• Have mentored other Engineers in multiple projects.
• Startup experience is highly valued.
• BS/MS in Computer Science or a related technical discipline, or equivalent technical work experience.

Benefits

• Flexible remote-first work culture (with office space in Los Angeles).
• We cover 100% of health, dental, and vision insurance for you and for spouses and dependents.
• We have a 401(k) retirement savings plan with employer matching contributions.
• Meaningful equity.
• Flexible vacation policy.

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