Plenful

Plenful

Staff Machine Learning Engineer

San Francisco, CA · Staff+ · Full-time

Sponsorship not specifiedDetected 8 days ago
PythonDockerKubernetesCI/CDMachine LearningPyTorchLLMsRAGAgentic AIMLOpsLangGraphComplianceHIPAAHL7/FHIREHR/EMRCollaborationMentoring

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Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • Healthcare's back office still runs on faxes, PDFs and phone calls.
  • AI can take that work off people's plates, but only if it is accurate enough to trust with patient and financial data.
  • This is an individual contributor role with no direct reports and broad influence.

Responsibilities

  • Make the calls on build versus buy for models and platform pieces.
  • Design the systems that turn production failures and user feedback into better datasets, evals and models.
  • 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.

Requirements

  • 8+ years in ML or software engineering, including 3+ years leading LLM or agentic systems in production.
  • You have run supervised fine-tuning, preference optimization, distillation or RL end to end and shipped a model that moved a production metric.
  • You have architected production agent systems and can name what broke and what you changed.
  • Experience with frameworks like LangGraph, RAG and vector search (for example Pinecone) is expected.
  • You have proof: open source, write-ups, talks, or evals other people use.

Nice to have

  • Publications or open-source work in LLM evaluation, post-training or agents.
  • Experience interviewing and hiring ML engineers.
  • Work in another regulated, high-stakes domain.
  • WHAT YOUR FIRST 90 DAYS LOOK LIKE
  • By day 30, you have reviewed our agents, evals and training pipeline and written down the three biggest gaps.
  • By day 90, you have shipped a post-training or evaluation improvement that moved a production metric, and published the plan the team follows for the next two quarters.
  • 🚀 Mission-Driven, World-Class Team - Join an exceptional group of professionals aligned around a meaningful mission and committed to making an impact
  • 📈 Opportunities for Growth - Strengthen your expertise through collaboration with experienced, high-performing leaders across the organization

Benefits

  • 🏥 Healthcare Coverage - Full medical, dental, and vision insurance for you and participation for your family
  • 📊 Equity - Every full-time employee shares in our success
  • 🌴 Unlimited PTO - Take the time you need, when you need it
  • 🍽️ Daily Lunch Stipend - $100/week to cover your midday meals
  • 💪 Wellness Stipend - $100/month to support your health and well-being
  • 🚇 Commuter Benefits - $100/month for SF and NYC-based employees
  • 👶 Parental Leave - Paid leave to support growing families
  • Plenful is on a mission to transform healthcare operations from the inside out.
  • Built by healthcare operators for healthcare operators, Plenful is driven by a deep understanding of the challenges facing today's care teams.
  • If you're excited to help shape the future of healthcare, we'd love to meet you.
  • Decide where supervised fine-tuning, preference optimization, distillation and reinforcement learning 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.

Company info

  • WHAT WE'RE LOOKING FOR - 8+ years in ML or software engineering, including 3+ years leading LLM or agentic systems in production. - Deep applied post-training experience.
  • At Plenful, we build agents and models that do that work in production, with people in the loop wherever judgment matters.
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This listing is sourced directly from Plenful's careers page and normalized into a canonical job model.