Amazon · 1 month ago
Senior Machine Learning Engineer, WebIR - ML Infrastructure
Boston, Massachusetts, USA
Full-time
Onsite
Senior Level
$151K/yr - $262K/yr
5+ years expAmazon is at the forefront of transformative AI, shaping the next generation of intelligent technologies. They are seeking a Senior Machine Learning Engineer to develop state-of-the-art web search capabilities, focusing on building training data pipelines, accelerating experimental velocity, and optimizing model performance.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Build and automate training data generation: You will build a data pipeline for producing high-quality training data sets for our web information retrieval and ranking models, having direct and significant impact on our search quality
Help improve the data quality, including mining for hard negatives, incorporating dimensions of quality (e.g. relevance, content freshness, page trustworthiness, etc.), as well as scaling the pipeline to billions of examples
Work closely with scientists to address their specific modeling needs and help develop metrics to communicate your progress on data quality and scale
Develop leveraged systems to enable the team to experiment faster
This includes centralizing evaluation workflows and developing tools and systems to streamline production model optimization and deployment
Develop advanced analytics and automate failure space analysis processes to help the team debug and understand search quality issues
Partner with the broader AGI analytics team to coordinate metrics for our information retrieval engine with user signals or downstream dependencies to debug across systems as well
Optimize model inference to maximize hardware utilization, reducing GPU inference latency, balancing trade-offs with quality for performance
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
3+ years of experience with technologies such as AWS, Glue, Redshift, Airflow, Spark, Kafka, Kubernetes, Redis
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 or equivalent
Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
Experience in machine learning, data mining, information retrieval, statistics or natural language processing
2+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
2+ years of experience with technologies such as Sagemaker, Triton, Pytorch, Onnx, MLFlow, Flyte
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
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
2026-01-13
2026-01-13
Business Standard India
2026-01-13
Company data provided by crunchbase