Machine Learning Researcher

AI overview

Develop proprietary models and conduct original research for healthcare applications, significantly impacting patient data accuracy and AI capabilities at Komodo Health.

We Breathe Life Into Data

At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. 

As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.

The Opportunity at Komodo Health:

As an ML Researcher, you will be at the core of developing the proprietary models that power our Healthcare Map and the Marmot generative AI platform. You will bridge the gap between theoretical machine learning and practical, high-scale application, conducting original research to improve our ability to link, de-duplicate, and normalize complex longitudinal patient data. This is not just an academic role; we are looking for a researcher with a "Platform Builder" mindset who is eager to move beyond experimental code to create durable, versioned models that enhance our data infrastructure and AI capabilities.

Looking back on your first 12 months at Komodo Health, you will have accomplished...

  • Advanced Internal Data Fidelity: Developed and deployed novel ML models that improve the accuracy of patient-level data linking and entity resolution across disparate sources.
  • Enhanced Generative Capabilities: Contributed key architectural improvements to the Marmot LLM infrastructure, specifically focusing on reducing manual "drift" and accelerating feedback loops.
  • Optimized Non-Human Identity Governance: Established protocols for governing AI agents and automation entities within our platforms, ensuring least-privilege access and "Compliance-by-Design".
  • Bridged Research and Production: Successfully collaborated with advanced modeling and engineering groups to transition research prototypes into production-ready platform features.

These are the essential job duties you will be responsible for...

  • Execute Original Research: Design and test new ML architectures to solve challenges in data integration, interoperability, and predictive modeling across diverse datasets.
  • Collaborate on Model Architecture: Partner closely with Product and Engineering to ensure research efforts align with revenue-critical IAM and data-orchestration goals.
  • Adopt a Reflexive AI Mindset: Use AI as a natural part of your own research process to iterate faster and deliver higher-quality code and documentation.
  • Ensure Technical Excellence: Maintain the highest standards of technical accuracy, ensuring that all models are robust, scalable, and built for a high-performance SaaS environment.
  • Automate Data Reconciliation: Build API-driven reconciliation jobs and data normalization scripts to ensure a unified and consistent view across our data estate.

What you bring to Komodo Health (required):

  • Advanced Research Background: Deep expertise in Machine Learning, Statistics, or a related quantitative field with a strong track record of "solution-oriented" research.
  • Python Mastery: Expert-level proficiency in Python and the broader ML stack for custom API connector development and data reconciliation.
  • Proficiency in Quantitative Reasoning: An ability to understand complex data nuances and use that knowledge to scope out technical solutions for platform-level challenges.
  • Curiosity & Initiative: A proactive drive to explore new AI tools and workflows, with a commitment to sharing AI-enhanced automations with the broader team.
  • Collaborative Communicator: Ability to translate complex model limitations and research findings into actionable insights for both technical and non-technical stakeholders.

** Location flexible to NYC or SF hybrid, and remote

 

The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.

 

The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy. 

San Francisco Bay Area and New York City:
$230,000$270,000 USD
All Other US Locations:
$200,000$235,000 USD

Komodo's AI Standard

At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success.

Join us in shaping the future of healthcare intelligence.

Where You’ll Work

Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join.

Equal Opportunity Statement

Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 

By submitting your application, you acknowledge that you have read and understand Komodo Health’s Privacy Notice for Employees and Contractors.

This notice explains how we collect, use, and retain applicant data.

Komodo Health combines the world’s most comprehensive view of patient-encounters with innovative algorithms and decades of clinical expertise to power our Healthcare Map, the industry’s most precise view of the U.S. healthcare system.

View all jobs
Salary
$230,000 – $270,000 per year
Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Machine Learning Engineer Q&A's
Report this job
Apply for this job