Job Description
AI Scientist / Research Engineer (Applied Research)
Location: New York City
Remote: Hybrid (minimum 3 days on-site)
Salary: Top-of-market base salary + equity
Visa: No sponsorship
Company
AI-driven healthcare technology company building a next-generation platform to automate complex revenue. With access to real-world, high-stakes datasets, the company focuses on deploying cutting-edge machine learning research directly into production environments.
The Role
- Conduct applied machine learning research on large-scale, real-world healthcare data.
- Design and train advanced models focused on explainability, reinforcement learning, and long-context information retrieval.
- Move rapidly from research concepts to production-ready systems with measurable business impact.
- Design experiments, evaluate models, and contribute end-to-end code from prototype to deployment.
- Collaborate closely with MLOps, product, and engineering teams to operationalize research outcomes.
Desired Profile
- PhD in Computer Science, Machine Learning, Informatics, or a closely related field.
- 3+ years of industry or postdoctoral experience in applied ML research.
- Strong publication record at top-tier venues such as NeurIPS, ICML, EMNLP, MLHC, CHIL, or equivalent.
- Hands-on experience building novel architectures and pipelines using PyTorch, TensorFlow, or JAX.
- Background in one or more of the following: model interpretability, reinforcement learning, retrieval-augmented generation, or long-context retrieval.