Location: Denver, USA

Remote: Yes please

Willing to relocate: Under right conditions

Technologies: Python, PyTorch, Flyte, Weights & Biases, Hugging Face, OpenAI API, Azure, GCP (GKE, BigQuery), AWS, Baseten, Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, SQL (Postgres, MySQL, BigQuery), GraphQL, ElasticSearch, Retool, FastAPI, Flask, Node.js, JavaScript/TypeScript, React, HTML/CSS, Git, C++, Large Language Models (LLMs), instruction fine-tuning, RAG, NLP, AI agents, human-in-the-loop systems, document processing, model evaluation, distributed systems, model CI/CD, MCP

Résumé/CV: https://lnerenbergdev.github.io/resume/

Email: lnerenbergdev@gmail.com

I’m Lawson, a full-stack ML engineer with 4+ years of experience developing, testing and scaling LLM-driven systems into production. At PicnicHealth I developed infrastructure and owned fine-tuning cycles for LLMD, our large language model for structuring longitudinal medical records (https://arxiv.org/html/2410.12860v1), while also shipping patient-facing apps and on-call supporting microservice infra. Earlier projects include fine-tuning GPT-2 for CAD generation (openAI early adopter) and leading NASA-funded student engineering teams.

I'm looking for roles which will leverage my passion for understanding the relationship between data in and behavior out.