---
title: 'Senior ML Engineer, Agentic AI at Ellipsis Health'
canonical: 'https://feeny.ai/job/senior-ml-engineer-agentic-ai-ellipsis-health-san-francisco-h4qx93460sb2'
type: 'job'
last_seen: '2026-09-07'
---

# Senior ML Engineer, Agentic AI at Ellipsis Health

- **Company:** Ellipsis Health
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-09
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/ellipsis-health/4c18f479-9bfb-4a19-b1ec-3b470cbf3bd5

## Job description

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.

## RESPONSIBILITIES:

- 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.
- Research-to-Production Translation: Bridge the gap between frontier machine learning research and enterprise software design. Implement and adapt state-of-the-art techniques in post-training fine-tuning, preference alignment, and automated prompt optimization.
- 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.
- Cross-Functional & Clinical Collaboration: Work closely within a highly matrixed, collaborative organization alongside clinical experts, product managers, and software engineers to ensure AI platforms operate safely and ground outputs in validated healthcare protocols.
- 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.

## MINIMUM QUALIFICATIONS

- 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.

## PREFERRED QUALIFICATIONS

- 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).
- Research Excellence: A solid track record of contributions or publications at top-tier machine learning venues (e.g., NeurIPS, ICML, KDD) with a specific focus on agentic frameworks, reinforcement learning, or data benchmark.

## SALARY AND BENEFITS:

We offer competitive salary and benefits, including 401(k) matching, health, vision, and dental insurance, and very flexible paid time off.

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. We evaluate candidates holistically and comply with all “ban the box” regulations.

## ASSISTANCE:

If you have a disability or require accommodations during the application or recruitment process, please contact careers@ellipsishealth.com.

## About Ellipsis Health

## Company Overview
- **One-liner**: Ellipsis Health provides an emotionally intelligent AI care manager, Sage, that automates patient engagement, clinical assessments, and care coordination for health plans, health systems, specialty care, and pharmaceutical companies.
- **Entity Type**: Private (Series A-II; total funding $75.39M)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2017
- **Founders**: Not publicly available

## Core Business
- Primary industry: Healthcare AI / Healthcare IT
- Target customers: B2B – health plans, health systems, specialty care providers, and pharmaceutical companies
- Mission/purpose: To deliver empathetic, autonomous virtual care management that reduces administrative burden, improves patient outcomes, and enables care teams to work at the top of their licenses.

## Products & Services
- **[Sage – AI Care Manager](https://ellipsishealth.com/product/)**: An agentic AI platform that conducts fully autonomous, natural-language calls with patients. Use cases include program enrollment & engagement, clinical assessments (HRAs, HOS, HCAHPS), care coordination, medication adherence, discharge check-ins, and preventive care outreach. Sage is multilingual, HIPAA and SOC2 Type 2 compliant, and designed with clinical oversight.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Annual revenue ~$8.1M (LinkedIn estimate) – not independently verified; total disclosed funding $75.39M (CB Insights) / $79.1M (LinkedIn)
- **Notable Investors/Partners**: Khosla Ventures (lead Series A), Salesforce, Mitsui & Co. Global Investment, AME Cloud Ventures, Colliers, and 30+ other investors. Strategic partnerships with Salesforce (Sage integrated into Salesforce Health Cloud) and NVIDIA (to enhance NLP capabilities).
- **Growth Signals**: Headcount grew 60% YoY to 60 employees; LinkedIn followers +80% YoY. Raised $45M Series A-II in July 2025. Filed 14 patents around psychiatric diagnosis, computational linguistics, and mood disorders.

## Competitive Advantages
- **Emotionally intelligent, conversational AI** that adapts to patient tone and responses, driving higher engagement than rigid IVR systems.
- **Healthcare-native security and compliance**: HIPAA, SOC2 Type 2, end-to-end encryption, and continuous third-party audits.
- **Clinical oversight** built into AI operations, preserving trust and safety.
- **Proprietary acoustic and NLP models** for voice-based screening and monitoring of behavioral health conditions.
- **Pre-built integrations** with EHRs and Salesforce Health Cloud, reducing deployment friction.

## Strategic Focus
- Deepen integration with major health IT ecosystems (Salesforce, EHRs).
- Expand use cases into medication adherence and preventive care.
- Scale the platform through partnerships (Clearstep, NVIDIA) to reach more health plans and systems.
- Continue patenting voice-AI innovations for broader clinical applications.

## Why Work Here
- Opportunity to build cutting-edge AI in a regulated, high-impact industry (healthcare).
- Cross-functional team with backgrounds from top tech and healthcare companies.
- Remote-friendly culture with employees across the US, Canada, India, and Brazil.
- Current open roles (via [Ashby](https://jobs.ashbyhq.com/ellipsis-health)): Frontend Engineer, Backend Engineer, Senior Full-Stack Engineer, Technical Recruiter – Healthcare AI.
- Engineering-led environment with strong emphasis on AI safety, ethical AI, and clinical rigor.

## Sources
1. [ellipsishealth.com](https://ellipsishealth.com/)
2. [cbinsights.com](https://www.cbinsights.com/company/ellipsis-health)
3. [linkedin.com](https://www.linkedin.com/company/ellipsis-health)
4. [ellipsishealth.com/product](https://ellipsishealth.com/product/)
5. [ellipsishealth.com/careers](https://ellipsishealth.com/careers/)

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