Applied Scientist, AWS Applied AI Solutions Core Services - Amazon Web Services

Key Responsibilities

• Design, implement, and ship scalable AI models and services that solve high‑impact problems across domains such as autonomous operations, geospatial analytics, and trust & safety.
• Collaborate with product, engineering, and research teams to translate research prototypes into production‑ready, enterprise‑grade solutions on AWS.
• Build end‑to‑end pipelines, including data ingestion, model training, evaluation, and deployment, leveraging AWS services (SageMaker, Lambda, ECS/EKS, etc.).
• Optimize model performance, cost, and latency for large‑scale workloads, applying distributed training and inference techniques.
• Publish technical findings, contribute to internal best‑practice libraries, and mentor junior scientists and engineers.

Requirements

• Advanced degree (M.S. or Ph.D.) in Computer Science, Electrical Engineering, or a related field with a focus on AI/ML.
• 5+ years of hands‑on experience developing production‑grade machine learning or deep learning solutions.
• Proficiency in Python and ML/DL frameworks such as TensorFlow, PyTorch, or MXNet.
• Strong knowledge of AWS services for AI/ML, including SageMaker, S3, and container orchestration platforms.
• Demonstrated ability to solve complex technical challenges, optimize for scalability, and deliver robust, maintainable code.