ML Engineer, GO-AI Technology & Development Team

Location: Westboro

This job is with Amazon, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

DESCRIPTION:

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.

Key job 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

A day in the life
Amazon offers a full range of benefits that assist you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

BASIC QUALIFICATIONS:

- 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, Torch

XLA, and TensorRT
- Experience building large-scale machine learning and AI solutions at Internet scale

PREFERRED QUALIFICATIONS:

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and…