senior machine learning Applied Scientist ic · Posted Apr 13, 2026
$183,800 – $248,700
USD per year

About this role

Amazon is hiring a senior-level Applied Scientist in the machine learning function based in New York City, NY. The posting calls out experience with Python, Java, Deep Learning, Data Structures. Compensation is listed at $183,800–$248,700 per year.

Role
Applied Scientist
Function
machine learning
Level
senior
Track
Individual contributor
Employment
Full-time
Location
New York City, NY
Department
Research Science
Posted
Apr 13, 2026

More roles at Amazon

Software Development Engineer, Amazon Ads Nova
New York City, NY · mid
Java C# AI Agents
Infrastructure Reliability Engineer, Infrastructure Reliability & Quality
Herndon, VA · mid
AWS Networking Machine Learning
Software Development Engineer, Amazon Ads Nova
New York City, NY · mid
Java C# AI Agents
Certified Pharmacy Technician, Fulfillment - Amazon Pharmacy
Miami, FL · mid
Delivery Consultant – SAP , Professional Services, SAP
New York City, NY · mid
Python Ruby AWS
All Amazon jobs →

Job description

from Amazon careers

We are seeking an Applied Scientist to lead the development of evaluation frameworks and data collection protocols for robotic capabilities. In this role, you will focus on designing how we measure, stress-test, and improve robot behavior across a wide range of real-world tasks. Your work will play a critical role in shaping how policies are validated and how high-quality datasets are generated to accelerate system performance. You will operate at the intersection of robotics, machine learning, and human-in-the-loop systems, building the infrastructure and methodologies that connect teleoperation, evaluation, and learning. This includes developing evaluation policies, defining task structures, and contributing to operator-facing interfaces that enable scalable and reliable data collection. The ideal candidate is highly experimental, systems-oriented, and comfortable working across software, robotics, and data pipelines, with a strong focus on turning ambiguous capability goals into measurable and actionable evaluation systems. Key job responsibilities - Design and implement evaluation frameworks to measure robot capabilities across structured tasks, edge cases, and real-world scenarios - Develop task definitions, success criteria, and benchmarking methodologies that enable consistent and reproducible evaluation of policies - Create and refine data collection protocols that generate high-quality, task-relevant datasets aligned with model development needs - Build and iterate…

This is an excerpt. Read the full job description on Amazon careers →
All machine learning jobs machine learning in New York City, NY Jobs in New York City, NY machine learning salaries machine learning career path
All Amazon Jobs Browse machine learning roles senior positions