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Ellipsis Health

Senior ML Engineer, Agentic AI

Who can apply: US-based role. The employer has not said which states are eligible — confirm before applying.
Location as listed by the employer: “San Francisco - Hybrid”
Apply on Ellipsis Health's site ↗

Opens the employer's official application page.

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About this role

Ellipsis Health is hiring for a Senior ML Engineer, Agentic AI role (full-time). See the official posting for full details.

Requirements

  • Bachelor’s degree in Computer Science, Machine Learning, Statistics, Engineering, or equivalent practical experience.
  • 5+ years of practical software development experience with a heavy emphasis on product design, core system architecture, and shipping scalable software platforms (or 2+ years of post-PhD industry experience in a dedicat…
  • Advanced programming proficiency in Python and deep hands-on expertise with distributed machine learning or deep learning frameworks (e.g., PyTorch, JAX, or TensorFlow).
  • Proven track record of architecting, implementing, and deploying complex LLM-powered applications, multi-agent orchestrations, or autonomous systems in a production environment.
  • Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative technical field.
  • 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.
  • Experience working within complex, highly collaborative matrixed organizations on high-acuity, deeply regulated technical integrations (e.g., healthcare, fintech, or aerospace).

Summarized from the employer's posting — check the full posting for every requirement.