Ellipsis Health

Ellipsis Health

Senior ML Engineer, Agentic AI

San Francisco - Hybrid · Senior

Sponsorship not specified$160k-$210kDetected 44 days ago
PythonDistributed SystemsData StructuresAlgorithmsMachine LearningDeep LearningTensorFlowPyTorchLLMsAgentic AIStatisticsResearchLeadershipCollaborationMentoring

About the role

  • In this role, you will be a core contributor and technical leader within our AI Research & Engineering team.
  • The typical salary range for this role is $160,000 to $210,000 USD, depending on skills, qualifications, and relevant experience.
  • BACKGROUND CHECKS: As a health technology company, we reserve the right to run background checks on candidates to whom we extend offers, in compliance with applicable laws.

Responsibilities

  • Advanced Agentic Architecture: Design, build, and optimize scalable systems and orchestration pipelines capable of deep multi-step reasoning, dynamic memory allocation, long-context evaluation, and high-fidelity tool utilization.
  • Rigorous Evaluation & Benchmarking: Architect and maintain multi-dimensional quantitative evaluation frameworks and continuous testing infrastructure.
  • Implement state-of-the-art LLM-as-a-judge rubrics, and statistical tracking to evaluate agent capabilities and guarantee zero-regression product updates.
  • Data Mix Optimization: Develop and scale automated data curation pipelines to extract, filter, and structure user feedback signals, execution logs, and expert labels into ultra-high-quality training datasets for model fine-tuning.
  • Mentorship & Engineering Excellence: Foster a culture of technical rigor by setting high coding standards, leading design reviews, standardizing tooling, and mentoring other ML and software engineers across the team.
  • Design, build, and optimize scalable systems and orchestration pipelines capable of deep multi-step reasoning, dynamic memory allocation, long-context evaluation, and high-fidelity tool utilization.
  • Implement and adapt state-of-the-art techniques in post-training fine-tuning, preference alignment, and automated prompt optimization.
  • Develop and scale automated data curation pipelines to extract, filter, and structure user feedback signals, execution logs, and expert labels into ultra-high-quality training datasets for model fine-tuning.
  • Foster a culture of technical rigor by setting high coding standards, leading design reviews, standardizing tooling, and mentoring other ML and software engineers across the team.
  • Operating at the sweet spot between cutting-edge scientific research and production-grade systems, you will drive the conceptualization, architecture, and deployment of frontier agentic systems.

Requirements

  • Proven track record of architecting, implementing, and deploying complex LLM-powered applications, multi-agent orchestrations, or autonomous systems in a production environment.

Nice to have

  • 8+ years of industry experience specializing in advanced data structures, algorithms, distributed systems, and heavy-duty scalable ML infrastructure.
  • 3+ years of technical leadership experience, including leading complex technical project workstreams, defining organizational engineering directions, or directly mentoring technical talent.
  • We evaluate candidates holistically and comply with all "ban the box" regulations.

Compensation

  • The typical salary range for this role is $160,000 to $210,000 USD, depending on skills, qualifications, and relevant experience.

Benefits

  • We offer competitive salary and benefits, including 401(k) matching, health, vision, and dental insurance, and very flexible paid time off.
  • As a health technology company, we reserve the right to run background checks on candidates to whom we extend offers, in compliance with applicable laws.
  • If you have a disability or require accommodations during the application or recruitment process, please contact careers@ellipsishealth.com.
  • Technical Leadership & Vision: Act as the technical authority for the Agentic AI roadmap, steering engineering pods from initial research prototyping through to production scale.
  • Research-to-Production Translation: Bridge the gap between frontier machine learning research and enterprise software design.
  • Bachelor's degree in Computer Science, Machine Learning, Statistics, Engineering, or equivalent practical experience.
  • Advanced programming proficiency in Python and deep hands-on expertise with distributed machine learning or deep learning frameworks (e.g., PyTorch, JAX, or TensorFlow).
  • Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative technical field.
  • Experience working within complex, highly collaborative matrixed organizations on high-acuity, deeply regulated technical integrations (e.g., healthcare, fintech, or aerospace).

Company info

  • We are headquartered in Silicon Valley and are funded and supported by some of the most preeminent venture capital teams.
Apply directly at Ellipsis Health →Create a free account for alerts like thisView Ellipsis Health immigration profile

This listing is sourced directly from Ellipsis Health's careers page and normalized into a canonical job model.