# Forward Deployed ML Engineer at Triomics

- Company: Triomics
- What the company does: Advance every cancer decision. Backed by General Catalyst.
- Company website: https://triomics.in/
- Type: Startups (AI role)
- Level: Mid level
- Location: New York Office
- Work setup: Remote
- Pay: $170K to $190K base salary per year (USD)
- Posted: 2026-06-17
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/triomics/df6ea402-6286-4461-b628-5821cfcb92b4
- Page: https://www.1752.vc/careers/jobs/triomics-forward-deployed-ml-engineer/

## About the role

Design and build agentic extraction pipelines that process 500+ page patient charts (clinical notes, pathology reports, imaging reports, genomic panels) and output structured JSON per customer data dictionaries Own accuracy end-to-end: define evaluation datasets, run precision/recall analysis per variable, identify failure modes, and improve through agent architecture changes, prompt engineering, fine-tuning, or rule-based post-processing

## What they're looking for

- 2+ years building ML/AI systems in production
- Built and deployed AI agents or multi-step LLM pipelines (not just single-call wrappers) - you should have a clear point of view on agent architectures, tool use, orchestration frameworks, and where they break down
- Strong Python - pipeline code, data processing, infrastructure glue, not just model training scripts
- Practical LLM experience: prompt engineering, fine-tuning, RAG, evaluation design
- Built evaluation frameworks for LLM based document extraction tasks (precision, recall, per-class analysis, error taxonomy)
- Willingness to become a domain expert in oncology data - this role requires going deep into clinical documentation, not just treating it as generic text

Tags: Engineering