Machine Learning Researcher
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Job Location:
San Francisco, CA - USA
Monthly Salary:
$ 230000 - 270000
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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. Thats why we built the Healthcare Map the industrys 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 healthcares most complex questions for our partners. Across the healthcare ecosystem were 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 Companys sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity 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:
$230000 - $270000 USD
All Other US Locations:
$200000 - $235000 USD
Komodos AI Standard
At Komodo were not just witnessing the AI revolution were leading it. This is a pivotal moment in time where being first to market with AI transforms industries and sets the bar. Weve already established industry leadership in leveraging AI to revolutionize healthcare and we expect every team member to here isnt optional; its foundational. We expect you to integrate AI into your daily work from summarizing documents to automating workflows and uncovering insights. This isnt just about efficiency; its 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 Youll 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 were building intentional in-office rhythms alongside the flexibility thats 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 HealthsPrivacy Notice for Employees and Contractors.
This notice explains how we collect use and retain applicant data.
Required Experience:
IC
Key Skills
About Company
Get the most accurate, patient-centric view of the U.S. healthcare system. Scale insight generation with NLP-based AI and an enterprise platform.
