Research Scientist

R1 RCM

. Conduct applied research in explainable AI, reinforcement learning, retrieval-augmented generation (RAG), and long-context information retrieval .

Posted 10/8/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $140,000 - $270,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and evaluating machine learning models, particularly in explainable AI, reinforcement learning, and retrieval-augmented generation. Proven ability to collaborate with cross-functional teams to translate research into impactful production solutions.

Highest-signal resume keywords

PhD In Computer ScienceMachine Learning Model DevelopmentPyTorch FrameworkReinforcement LearningLarge-Scale Healthcare Data

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningExplainable AIRetrieval-Augmented GenerationLong-Context Information RetrievalModel EvaluationDistributed ComputingResearch PrototypingExperimentation FrameworksValidation MethodologiesPublication Record

Tools & Technologies

PyTorchTensorFlowJAXRayFSDPPyTorch Lightning

Industry Keywords

Applied ResearchHealthcare AIMachine Learning ConferencesNeurIPSICMLEMNLPMLHCCHIL

Tech Stack

Tools & technologies

PyTorchRayTensorflow

About the role

Key responsibilities & impact

Conduct applied research in explainable AI, reinforcement learning, retrieval-augmented generation (RAG), and long-context information retrieval
Design, train, and evaluate novel machine learning models using large-scale healthcare data and distributed computing infrastructure
Partner with ML Engineering, ML Ops, and Product teams to move research innovations from concept to production
Build end-to-end research prototypes, experimentation frameworks, and validation methodologies
Improve how intelligent systems reason, retrieve information, and explain decisions
Develop research innovations that deliver measurable business and user impact

Requirements

What you’ll need

PhD in Computer Science, Computer Engineering, Informatics, Machine Learning, Artificial Intelligence, or a related field
3+ years of industry research experience (postdoctoral experience may be considered equivalent)
Expertise developing machine learning models and architectures using frameworks such as PyTorch, TensorFlow, or JAX
Demonstrated research experience in one or more of the following areas: interpretability, reinforcement learning, retrieval-augmented generation (RAG), or long-context information retrieval
Experience training and evaluating large-scale machine learning models on distributed computing platforms such as Ray, FSDP, or PyTorch Lightning
Proven publication record at top-tier machine learning, AI, or healthcare AI conferences such as NeurIPS, ICML, EMNLP, MLHC, or CHIL

Benefits

Comp & perks

Top-of-market compensation, including bonus that starts at 10%
Flexible PTO
Comprehensive health benefits
401(k) matching
Inspiring, brilliant, mission-driven teammates
Annual bonus plan at a target of 10.00%
Opportunities to constantly learn, collaborate across groups and explore new paths for your career
Competitive benefits package