Trellis is hiring a
AI/LLM Engineer

Summary

Trellis Law is seeking an experienced AI/ML Engineer to join their Engineering team. The role involves building scalable architecture, working on backend services, data flows, and analytics, and utilizing unstructured data for large scale data sets. Required qualifications include 7+ years of backend engineering experience, specific experience with LLMs, ML model deployment, and Python proficiency.

Requirements

• At least 7 years of backend engineering experience
• At least 3-4 years of experience 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
• Strong understanding of Machine Learning, specifically Large Language Models
• Have mentored other Engineers in multiple projects
• BS/MS in Computer Science or a related technical discipline, or equivalent technical work experience

Responsibilities

• 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
• Collaborate with the Product team to understand new features

Preferred Qualifications

Experience building semantic search is a plus

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
• 401(k) retirement savings plan with up to 3% employer matching
• Flexible vacation policy