Job Overview
Location
New York HQ
Job Type
Full-time
Category
Software Engineering
Date Posted
July 4, 2026
Full Job Description
đź“‹ Description
- • Design and implement novel self-supervised learning methods for training foundation models tailored to multi-modal clinical data.
- • Translate peer-reviewed machine learning research papers into production-ready, scalable code for clinical AI applications.
- • Build robust, automated model evaluation frameworks to measure performance across diverse clinical datasets and use cases.
- • Co-author and submit research papers and abstracts to top-tier conferences such as ICML, ICLR, NeurIPS, and CVPR.
- • Collaborate closely with a multidisciplinary team of machine learning engineers, data scientists, and clinical researchers.
- • Co-mentor junior engineers and researchers on best practices in model development, evaluation, and deployment.
- • Develop foundation models for digital pathology, including Falcon and Kestrel, to predict patient outcomes and treatment responses.
- • Apply deep learning techniques to survival analysis, multi-modal learning, domain adaptation, causal inference, and model interpretability in clinical contexts.
- • Work with complex, heterogeneous clinical data including histopathology images, genomic profiles, electronic health records, and treatment histories.
- • Ensure model reliability and clinical validity by aligning development with standards required for deployment in academic institutions and community clinics worldwide.
- • Contribute to the development of clinical products such as Ataraxis™ Breast, which guides oncologists in selecting optimal treatments for breast cancer patients.
- • Operate within a flat organizational structure where initiative and consistent delivery directly influence leadership opportunities.
- • Prioritize ruthlessly and maintain a strong work ethic to advance high-impact AI research under tight deadlines.
- • Engage with foundational AI research areas including representation learning, causality (Ataraxis™ Tau), and computational pathology.
- • Maintain rigorous attention to detail in both algorithmic design and clinical application to ensure patient safety and regulatory alignment.
🎯 Requirements
- • PhD degree in machine learning or statistics
- • Excellent skills in Python and PyTorch
- • Experience in deep learning and self-supervised learning
- • Passion for research, attention to detail, and ability to drive tasks to completion
- • Strong preference for publications in A* conferences (e.g., ICML, ICLR, NeurIPS, CVPR)
- • Excellent understanding of core machine learning concepts and foundations of statistics, linear algebra, and probability
🏖️ Benefits
- • Opportunity to shape the future of precision medicine through clinical AI
- • Work alongside AI pioneers including founding advisor Yann LeCun and top oncologists
- • Join a team backed by $24M in funding, including investments from Thiel Capital/Founders Fund, Obvious Ventures, and AIX Ventures
- • Flat organizational structure with leadership earned through initiative and impact
Skills & Technologies
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About Ataraxis AI Inc.
Ataraxis AI provides AI-powered decision-support solutions for the healthcare industry. Its cloud platform ingests clinical, financial and operational data to predict patient deterioration, optimize staffing and reduce administrative burden. Targeting hospitals and health systems, the company delivers real-time dashboards that rank patients by risk, suggest interventions and quantify financial impact. Ataraxis AI integrates with existing electronic health records and claims feeds, offering explainable models built on de-identified datasets to support clinicians and administrators in improving outcomes and lowering costs.
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