Job Description

Amazon Robotics is seeking a Machine Learning Engineer to join the Global Operations - Artificial Intelligence team. This role involves developing vision-language models using large-scale datasets to enhance AI-powered robotic solutions, impacting Amazon's global fulfillment network.

Requirements

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team
Experience programming in Java, C++, Python or related language
Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
Experience building large-scale machine learning and AI solutions at Internet scale

Responsibilities

Build and optimize distributed training infrastructure for large-scale vision-language models
Design and implement high-throughput production inference systems that serve foundation models
Develop large-scale data and media processing pipelines for model training and evaluation
Create automated retraining pipelines and performance monitoring systems
Work closely with scientists and engineers to deliver scalable, high-performance systems

Benefits

Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.

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