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AI Research Scientist at Phare Health. Remote Location: New York. About Us. Our mission is to make healthcare reimbursement transparent and fair (/phare), so providers can spend more time caring for patients and less time haggling over costs. We specifically focus on the most complex AI challenges that require novel R&D, with a team that blends AI researchers and engineers with clinicians, and payment experts. Backed by General Catalyst, we’re scaling quickly - join us!. The Role. You’ll own the architecture, training, and optimization of large-scale transformer-based pipelines, wrangling PyTorch, GPUs, and distributed infrastructure to push forward SOTA. Think “research lab rigor” fused with “startup shipping speed.” Expect to:. Design and iterate on new transformer and hybrid text architectures; scale promising ideas across multi-GPU / multi-node clusters with PyTorch.. Drive the research roadmap: propose experiments, benchmark against state of the art, and publish or open-source meaningful advances.. Build retrieval-augmented generation (RAG) pipelines and lightweight agent workflows, balancing accuracy, latency, and cost.. Convert research prototypes into reliable services with CI/CD, monitoring, and rollback.. Partner with product and design to translate model capabilities into intuitive user experiences.. Who We’re Looking For. 3+ years training large transformer models in Python/PyTorch at scale.. Peer-reviewed publications or significant open-source work in text modelling.. Proven end-to-end ownership: architecture → distributed training → deployment.. Fluency with Lightning/FSDP, Pytorch, Hugging Face, WandB, Ray/Kubeflow, Docker. Deep expertise in text modelling; clinical-text knowledge not required.. Bonus points. RLHF or policy-optimisation methods (PPO, TRPO, DPO).. Familiarity with healthcare ontologies or claims data.. Benefits. Top-of-market compensation (salary + equity). Flexible PTO & hybrid culture (SoHo HQ 3 days/wk; exceptional remote considered). Mission-driven, collaborative team. Twice-yearly offsites to align, build, and celebrate.. Hiring Process. Initial application. .. Intro call. : Discuss your background, career goals, and our mission.. 2 x Technical interviews. : A programming or system design exercise focused on real-world data challenges.. Referees:. We ask for 2 referees who can speak to your professional/technical work. Culture interview. : Ways of working, and a chance to ask questions. Offer