mid machine learning Applied Scientist ic · Posted Mar 18, 2026

About this role

Amazon is hiring a mid-level Applied Scientist in the machine learning function based in Mountain View, CA. The posting calls out experience with Python, Java, LLMs, NLP.

Role
Applied Scientist
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Mountain View, CA
Department
Corporate Operations
Posted
Mar 18, 2026

More roles at Amazon

Data Center IT Support Engineer, MEL - DCO
Melbourne, Australia · mid
AWS Linux
Engineering Operation Technician, Data Center Operations
Wharton, TX · mid
AWS Networking
Engineering Operation Technician, Data Center Operations
Wharton, TX · mid
AWS Networking
Strategic Procurement Specialist, Delivery Services
Sydney, Australia · mid
SQL MySQL
Engineering Operation Technician, Data Center Operations
Wharton, TX · mid
AWS Networking
All Amazon jobs →

Job description

from Amazon careers

MULTIPLE POSITIONS AVAILABLE Employer: AMAZON DEVELOPMENT CENTER U.S., INC., Offered Position: Applied Scientist II Job Location: Mountain View, California Job Number: AMZ9674020 Position Responsibilities: Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. Work across industries including financial services, healthcare, retail, and manufacturing, developing AI solutions tailored to each sector's requirements. Work on generative AI, natural language processing, and large-scale model training and deployment. Design custom machine learning algorithms for generative AI applications and fine-tune foundation models using customer datasets with techniques like LoRA and parameter-efficient methods. Evaluate existing ML frameworks and extend them with custom components to meet specific customer requirements. Research and apply cutting-edge ML principles including novel training methodologies and reinforcement learning techniques to create innovative solutions. Develop new algorithms for model optimization, including distillation and hardware-specific optimizations.…

This is an excerpt. Read the full job description on Amazon careers →
All machine learning jobs machine learning in Mountain View, CA Jobs in Mountain View, CA machine learning salaries machine learning career path
All Amazon Jobs Browse machine learning roles mid positions