The RoleWe skew toward the RS/RE blend - applied, hands-on engineers who can genuinely push forward state of the art. 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 MLOps 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, with at least three days per week in the SoHo office.
About you You have a PhD in computer science or informatics plus at least 3 years of industry experience (will consider postdocs also).
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).
For this US-based position, the base pay range is $160,000.00 - $250,000.00 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 at a target of 20.00%
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.
To learn more, visit: R1RCM.com
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