ML Engineer, GO-AI Technology & Development Team

Amazon•Boston, MA

About The Position

Amazon Robotics is at the forefront of applying state-of-the-art AI to solve real-world challenges at unprecedented scale. Our fulfillment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement with state-of-the-art artificial intelligence. We partner with customers across Amazon worldwide to conceive, develop, prototype, and deploy intelligent robotic systems that push the boundaries of industrial automation. Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. As a Machine Learning Engineer on GO-AI's Technology & Development Team, you'll be at the center of this transformation. You'll work with massive-scale, proprietary datasets to develop vision-language models that achieve human-level performance on complex real-world tasks. Your work will directly impact millions of daily operations across Amazon's global fulfillment network. This is a rare opportunity to build AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You'll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale.

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 (design patterns, reliability and scaling) 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

Nice To Haves

5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science, engineering, mathematics or equivalent, or Master's degree
Experience in processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution)
Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning
Experience with training and deploying machine learning systems to solve large-scale optimizations
Experience working cross functionally with tech teams
Knowledge of automation control system logic, mechanism and protocol
Mathematics and Statistics: strong understanding of linear algebra, calculus, probability, and statistics

Responsibilities

Build and optimize distributed training infrastructure for large-scale vision-language models at unprecedented scale
Design and implement high-throughput production inference systems that serve foundation models at Amazon scale with strict latency and reliability requirements
Develop large-scale data and media processing pipelines to handle massive volumes of video, image, and annotation data for model training and evaluation
Create automated retraining pipelines and performance monitoring systems to maintain model accuracy in dynamic production environments
Work closely with scientists and engineers to deliver scalable, high-performance systems that power state-of-the-art AI applications