Amazon · 2 days ago
ML Engineer, GO-AI Technology & Development Team
Seattle, Washington, USA
Full-time
Onsite
Senior Level
$151K/yr - $262K/yr
5+ years expAmazon is at the forefront of applying state-of-the-art AI to solve real-world challenges. As a Machine Learning Engineer on GO-AI's Technology & Development Team, you'll work with massive-scale datasets to develop vision-language models that impact Amazon's global fulfillment network.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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
Qualification
Required
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
Preferred
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
Benefits
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
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