Job Overview
Location
New York | Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Build and deploy end-to-end ML systems for retrieval, ranking, categorization, and generative AI over large-scale unstructured healthcare data including patient records, claims, and workflow actions
- • Design and develop scalable training and inference infrastructure to support a fast-moving research team, including experiment tracking, benchmarking, and performance evaluation
- • Partner with Research Scientists to transition models from research to production by establishing clear handoff contracts, performance gates, and packaging standards
- • Collaborate with ML Platform & Ops teams to ensure safe, reliable, and compliant rollouts of AI systems into production environments
- • Define and implement evaluation datasets, metrics, and validation strategies tied to real-world clinical and financial outcomes to bring scientific rigor to model development
- • Design ranking and triage models that determine optimal routing of tasks between AI agents and human operators across healthcare workflows
- • Establish feedback loops and data flywheels to continuously improve model performance based on production outcomes and operational data
- • Prototype new AI capabilities from 0 to 1, then harden them for enterprise-scale deployment across 95 of the top 100 U.S. health systems
- • Own the internal ML development environment, including instrumentation, monitoring, and tooling to support rapid experimentation and iteration
- • Work backwards from complex business problems to define scalable, explainable, and maintainable AI abstractions and system architectures
- • Mentor junior ML engineers and promote best practices in modeling, evaluation, and deployment across the AI team
- • Ensure AI/ML systems deliver measurable business value by partnering closely with software engineers, product managers, clinicians, and operational teams
- • Contribute to organizational-level technical initiatives as a Staff-level engineer, leading multiple teams or broad technical programs simultaneously
- • Deliver complete end-to-end projects independently at the Mid-level (L2), or lead larger, more complex initiatives with increased ambiguity and technical scope at L3 and Senior levels
🎯 Requirements
- • 5+ years of software engineering experience
- • 2+ years of hands-on experience in machine learning
- • Proven track record of building and deploying production-grade ML systems at scale
- • Experience with large-scale unstructured data in healthcare or similar regulated domains
- • Strong skills in model development, evaluation, and deployment pipelines
- • Experience designing systems for retrieval, ranking, categorization, or generative AI
🏖️ Benefits
- • Top-of-market compensation (salary + equity)
- • Flexible PTO
- • Comprehensive health benefits
- • 401(k) matching
- • Annual bonus plan eligibility
- • Travel arranged for in-person interviews at company hubs
Skills & Technologies
About Phare R1 R37
Phare R1 R37 is a clinical-stage biopharmaceutical company focused on developing novel therapies for rare diseases. The company's pipeline is centered around its proprietary gene therapy platform, designed to address the underlying genetic causes of conditions with high unmet medical needs. Phare R1 R37 leverages cutting-edge research and development to create innovative treatments, aiming to significantly improve the lives of patients suffering from debilitating rare genetic disorders. Their approach combines advanced molecular biology with a deep understanding of disease pathology to bring potentially life-changing therapies from the laboratory to the clinic.
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