Principal Large Language Model Engineer
SmartAsset
AWSAzureCloudDjangoDockerETLGoogle Cloud PlatformKubernetesMongoDBMySQLPythonRDBMS+1 more
AI/LLM Engineer
Trellis
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
SeniorLead
Tech Stack
Python
About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
backend engineeringlarge language modelsfine-tuning LLMsevaluating LLMsdeploying machine learning modelsend-to-end ML pipelinessemantic searchPythondata architectureunstructured data
Soft skills
mentoringcollaborationownership
Certifications
BS in Computer ScienceMS in Computer Science
