Startups · AI

Senior ML Engineer, Agentic AI

Ellipsis · San Francisco - Hybrid · Remote

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About Ellipsis

Cloud platform for coding agents. Backed by Khosla.

About the role

Technical Leadership & Vision: Act as the technical authority for the Agentic AI roadmap, steering engineering pods from initial research prototyping through to production scale. 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.

What they're looking for

  • 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 dedicated AI research/engineering role)
  • 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
More about this role

Ellipsis Health is creating cutting-edge AI/ML products that solve healthcare staffing challenges and administrative burdens using conversational AI and our patented voice biomarker technology—helping deliver better healthcare for everyone. We are headquartered in Silicon Valley and are funded and supported by some of the most preeminent venture capital teams.

In this role, you will be a core contributor and technical leader within our AI Research & Engineering 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. You will collaborate directly with core infrastructure and platform teams to translate algorithmic breakthroughs in LLMs and agentic AI into robust, secure, and low-latency clinical applications.

Technical Leadership & Vision: Act as the technical authority for the Agentic AI roadmap, steering engineering pods from initial research prototyping through to production scale.

Advanced Agentic Architecture: Design, build, and optimize scalable systems and orchestration pipelines capable of deep multi-step reasoning, dynamic memory...

Read the full posting on Ellipsis's site ↗

Engineering

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