Role overview
Note: The job is a remote job and is open to candidates in USA. Trellis 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 for legal professionals. They are seeking a seasoned AI/ML Engineer to build scalable architecture, manage data flows, and enhance backend services to support their rapidly growing user base.
What you'll work on
Skills • 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. • Experience building semantic search is a plus. • Startup experience is highly valued.
Education Requirements • 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.
Company Overview • Trellis is the leading source for state trial court data, offering unmatched access to court records, filings, and judicial insights across the U.S. It was founded in 2017, and is headquartered in Los Angeles, California, USA, with a workforce of 51-200 employees. Its website is https://trellis.law.