Healthcare AI Applied Science Leader

Amazon Web Services (AWS); Seattle (WA); Sur place; USD 184 000 - 249 000; Plein temps

Résumé du poste

Amazon.com Services LLC seeks an Applied Science Manager to lead science and data teams building AI-powered healthcare solutions on cloud platforms. You will guide research, scale applications, and shape product directions across clinical documentation, health data analytics, and billing tooling.

Lead teams of applied scientists and ML engineers, balance strategy with hands-on work, and drive innovation in AI systems for healthcare workflows with an emphasis on collaboration and

Qualifications

• 2+ years of scientists or machine learning engineers management experience.
• Knowledge of ML, NLP, Information Retrieval and Analytics.
• PhD, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience.
• Experience in applied research.
• Experience programming in Java, C++, Python or related language.
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsabilités

• Build and lead a world-class team that pushes the boundaries of computer vision, ML and AI.
• Set technical vision and strategy while balancing hands-on leadership with people management.
• Build and mentor Applied Scientists and ML Engineers.
• Set research direction aligned with business goals.
• Drive innovation in medical administration reasoning systems, AI agent design, and medical coding.
• Collaborate with cross-functional teams to translate research into production.
• Manage project portfolios and allocate resources.

Connaissances

ML management

NLP

Information Retrieval

Analytics

Java

C++

Python

Distributed computing

Formation

PhD

Master's + 4+ years ML

Description du poste

Amazon.com Services LLC seeks an Applied Science Manager to lead science and data teams building AI-powered healthcare solutions on cloud platforms. You will guide research, scale applications, and shape product directions across clinical documentation, health data analytics, and billing tooling.

Lead teams of applied scientists and ML engineers, balance strategy with hands-on work, and drive innovation in AI systems for healthcare workflows with an emphasis on collaboration and