ML Platform Engineer
Vali Health
Software Engineering, Data Science
United States · San Francisco, CA, USA
Posted on Mar 3, 2026
ML Platform Engineer at Vali Health
Location: SF Bay Area
Type: Full Time
Compensation: Cash + Equity
Vali is transforming the home care industry from the ground up with our agentic OS. We’re hiring a pragmatic ML platform engineer—ideally with tech-lead experience—to stand up our ML stack and own models in production.
What you’ll do
Build the ML platform from scratch: data pipelines, feature/embedding store, model registry, CI/CD for models, evals (offline/online), observability, rollback.
Ship production models/agents for scheduling & matching (availability forecasting, constraints/optimization) and communications (intent/routing, summarization, after-hours voice agent).
Create training/feedback loops from historical interactions; enforce data quality, drift detection, guardrails, and human-in-the-loop review.
Reinforcement learning for LLM agents: reward modeling, offline RL from logged interactions, contextual bandits/A-Bats, RLAIF/RLHF, safe exploration, and policy evaluation.
Define and move the metrics (fill rate, on-time starts, reassign latency, SLA adherence) with tight product/ops collaboration.
[Optional] Lead/mentor a small team; drive roadmap and engineering standards.
What you’ve done
5–8+ years building ML systems in production with ownership of reliability, latency, and business KPIs.
Hands-on with MLOps: Airflow/Prefect, Spark/Ray, Feast/feature stores, MLflow/Kubeflow, vector DBs, Docker/K8s, and a major cloud (GCP/AWS/Azure).
Experience with ranking/matching, forecasting, strong Python and software engineering fundamentals.
LLM/agent know-how (RAG, tool use, orchestration) or a demonstrated ability to ramp quickly.
Nice to have
Workforce scheduling, logistics, contact centers, or healthcare ops background.
HIPAA/PHI handling and healthcare compliance experience.
Prior team leadership or platform-plus-product ownership.
Why Join us?
IMPACT: As an early engineer, you’ll have a profound influence on the technical direction, engineering culture, and overall product vision
GROWTH: The challenges here will fast-track your growth, exposing you to the intricacies of building and scaling a tech product, with a chance to take on increased responsibility as we grow
COLLABORATION: You’ll work side-by-side with experienced founders, gaining insights into the startup journey from ideation to product-market fit and beyond
CUTTING-EDGE TECH: Join us as we push the boundaries of AI, leveraging the latest models and techniques to redefine customer experience analytics
UPSIDE: We are growing quickly and offer significant equity. If we’re really right, the upside is uniquely large
How to Apply?
Please send your resume or anything else you’d like to share ahead of time to hello@vali.health.
Interview process
We believe that people demonstrate their talent in various ways and we want to be flexible in what works best for you. We also encourage using AI tools to reflect how you actually work and use real world examples instead of leetcode style questions.
After an initial background screening to determine culture fit, we will work together to determine what’s the best next step for you to demonstrate your technical skills. It can be multi-day paid work trial, single-day AI assisted in-person mini project, past project walkthrough, etc. If you have your preferred method of showing off your skills as a talented engineer, we’d love to hear about those too!