The Role

We skew toward the RS/RE blend - applied scientists who feel comfortable getting close to production code. You'll conduct applied research on real healthcare data, focused on explainability, reinforcement learning, and long-context information retrieval. You'll move quickly from concept to deployment: designing experiments, training models at scale, and collaborating with ML Ops and Product teams to turn ideas into measurable user impact. You'll stay close to the literature and close to production, coding your own experiments end-to-end.

This is an in-person role in NYC, requiring at least 3 days in the SoHo office.

About you

You have a PhD in computer science / informatics and at least 3 years of industry experience (will consider postdocs).

Additionally, you have:

• Experience designing novel architectures and pipelines in PyTorch/TensorFlow/JAX - strong preference for applied research which has made its way into production
• Research expertise in one or more of: interpretability, reinforcement learning, retrieval-augmented generation, or long-context information retrieval
• Comfortable running large-scale training and evaluation on distributed infrastructure (e.g., Ray, FSDP, Lightning)
• Track record publications at top ML venues (e.g., NeurIPS, ICML, EMNLP, MLHC, CHIL)

Role Leveling

We are looking for candidates at various levels, ranging from Level 2 to Staff

• L2: Independently delivers a complete end-to-end project, owning design, implementation, and delivery of scoped work

• L3: Leads delivery of larger projects, handling increased technical complexity and ambiguity, providing light guidance to L2s on shared work

• Senior: Team Lead responsible for managing a portfolio of projects that contribute to major technical initiatives.

• Staff: Impact at the organizational level. Responsible for leading multiple teams or multiple broad initiatives simultaneously, ensuring that high-level technical goals are met across the entire organization.

Benefits

• Top-of-market compensation (salary + equity)
• Flexible PTO
• Hybrid in-office (min. 3 days per week)
• Comprehensive health benefits
• 401(k) matching
• Inspiring, brilliant, mission-driven teammates

Hiring Flow

• Intro call - your background & our mission alignment
• Technical deep-dives - pseudo-coding exercise and systems design (not Leetcode)
• Culture interview in person in NYC
• References
• Offer

Interview Logistics Notice

As part of our hiring process, selected candidates will participate in an in-person interview. Candidates located near one of our talent hubs-San Francisco, New York, Austin, or Chicago-will be scheduled to meet with team members in those locations. For candidates residing outside these areas, we will arrange travel to a hub for the interview. Travel accommodation will be provided as needed.

For this US-based position, the base pay range is $140,000.00-$300,000 per year. Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.

This job is eligible to participate in our annual bonus plan.

The healthcare system is always evolving - and it's up to us to use our shared expertise to find new solutions that can keep up. On our growing team you'll find the opportunity to constantly learn, collaborate across groups, and explore new paths for your career.

Our associates are given the chance to contribute, think boldly, and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team - including offering a competitive benefits package.