Staff ML Engineer for Healthcare AI Systems (Hybrid)

Plenful; San Francisco (CA); Hybrid; USD 190.000 - 270.000; Vollzeit

Benefits dieser Stelle

Healthcare Coverage

401(k) with Company Match

Equity

Unlimited PTO

Daily Lunch Stipend

Wellness Stipend

Commuter Benefits

Parental Leave

Zusammenfassung

Plenful is seeking a Staff Machine Learning Engineer to set technical direction for production agents, train/run LLMs and vision-language models, and drive post-training strategies in healthcare operations. You will balance build vs. buy decisions, design evaluation plans, and lead ML roadmap discussions with engineering and product teams.

The role emphasizes hands-on leadership in ML systems, MLOps depth, and ensuring privacy-by-design and HIPAA-aware practices across the stack.

Qualifikationen

• 8+ years in ML or software engineering.

Aufgaben

• Define the architecture for production agents: tool use, retrieval, state and context management, routing, orchestration, tracing and failure recovery.
• Turn what works into patterns others engineers reuse.
• Make the calls on build versus buy for models and platform pieces.
• Decide where supervised fine‑tuning, preference optimization, distillation and RL pay off, and where they do not.
• Train and ship LLMs and vision-language models for healthcare tasks, and build the in-house capability to keep doing it.
• Prove every gain with evaluation that holds up in production.
• Set the AI quality strategy: automated graders, calibrated LLM judges, regression suites, human review, failure taxonomies and offline-to-online validation.
• Make eval results the basis for release decisions.
• Design systems turning production failures and user feedback into better datasets, evals and models.
• Set the standard for dataset versioning, observability and MLOps so every team's work is reproducible and measurable.
• Co-own the 12-month ML roadmap with engineering and product leaders, balancing near-term wins against longer bets.
• Lead technical reviews, mentor Senior engineers, and help us hire.
• Build privacy in by design: minimum necessary data, de-identified or synthetic data where it works, and HIPAA-aware practices throughout.

Kenntnisse

8+ years ML/SE

3+ years leading LLM/agentics

Python

PyTorch

Distributed training

MLOps

Docker/Kubernetes

CI/CD

Evaluation strategy design

Production agent systems

Tools

LangGraph

RAG

Pinecone

vLLM/DeepSpeed

Docker

Kubernetes

MLflow

Jobbeschreibung

Plenful is seeking a Staff Machine Learning Engineer to set technical direction for production agents, train/run LLMs and vision-language models, and drive post-training strategies in healthcare operations. You will balance build vs. buy decisions, design evaluation plans, and lead ML roadmap discussions with engineering and product teams.

The role emphasizes hands-on leadership in ML systems, MLOps depth, and ensuring privacy-by-design and HIPAA-aware practices across the stack.