Applied ML Manager

About Autonomize AI
Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters improving lives. We're growing fast and looking for bold, driven teammates to join us.

Were hiring an Applied ML Manager to program?manage a portfolio of ML initiativesfrom LLM/RAG workflows to clinical NLP and MLOps. Youll create clarity in ambiguity, orchestrate cross?functional execution, and own outcomes end?to?end. This role is perfect for a technical program/people leader who can go deep on the work while driving scalea driver, not a passengerand who thrives on aligning fast and executing faster.

• Program & Portfolio Leadership
  • Own the multi?track plan for ML projects (scoping ? delivery), including timelines, dependencies, resources, and risk/RAID management.
  • Run the operating rhythm: backlog/roadmap, sprint planning, stand?ups, demos, and executive readouts with crisp status and decision logs.
  • Define success criteria and measurable outcomes (quality, latency, cost, safety), then track and improve them.
• Cross?Functional Execution
  • Align Product, Engineering, Clinical, and Customer teams around priorities; drive decisions and unblock fast.
  • Translate ambiguous problem statements into clear problem definitions, milestones, and acceptance criteria.
  • Coordinate data pipelines, annotations, experimentation, and evaluationshipping production?ready ML with reliability.
• Technical Depth & MLOps
  • Review designs/PRDs, sanity?check experiments, and dive into notebooks or dashboards to resolve issues when needed.
  • Partner on MLOps best practices (versioning, CI/CD for models, observability, guardrails, rollback plans).
  • Establish evaluation frameworks for LLM/RAG and clinical NLP (offline metrics, red?teaming, human?in?the?loop QA).
• People & Scale
  • Mentor ML engineers/data scientists; set clear expectations, feedback loops, and growth paths.
  • Improve the systemtemplates, playbooks, runbooks, postmortemsto compound team impact as we scale.

• 6+ years in Applied ML/DS/AI (or ML?heavy product/engineering), including 2+ years leading multi?workstream ML programs or teams.
• Proven track record shipping ML/LLM systems to production with clear business outcomes.
• Strong program management fundamentals (road?mapping, risk management, stakeholder alignment) and excellent written/verbal communication.
• Working knowledge of modern ML/LLM tooling (Python, PyTorch/TensorFlow, experiment tracking, data/feature stores, eval frameworks, model observability).
• Ability to operate in the final mileclosing loops with high judgment, urgency, and attention to detail.
• Healthcare curiosity and comfort with privacy, safety, and compliance considerations.

• Experience with RAG pipelines, clinical NLP (e.g., de?identification, coding, entity linking), or payer/provider workflows.
• Background building MLOps platforms or evaluation harnesses for LLMs.
• Experience mentoring/hiring ML talent and leading vendors/partners.

• A chance to make a real impact in the future of healthcare
• Autonomy, ownership, and the ability to chart your own growth path
• Competitive compensation and benefits
• 100% employer?paid health, vision, and dental insurance
• Retirement plans (401k), disability insurance, employee assistance programs

Please submit your resume and a brief cover letter to careers@autonomize.ai explaining why you are the ideal candidate for this role. We are excited to meet someone who is eager to bring their skills, enthusiasm, and creativity to our team