Trellis Law is the leading provider of state trial court data in the U.S., leveraging AI and Machine Learning to transform complex data into actionable insights. They are seeking a seasoned AI/ML Engineer to build scalable architecture and work on backend services, data flows, and analytics to support their rapidly growing user base and data.
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
- 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
- BS/MS in Computer Science or a related technical discipline, or equivalent technical work experience
- Experience building semantic search is a plus
- Startup experience is highly valued