
About Amazon
The everything store and cloud computing leader
Key Highlights
- Headquartered in South Lake Union, Seattle, WA
- Over 1.5 million employees worldwide
- Leading cloud services through Amazon Web Services (AWS)
- Acquired Whole Foods, Twitch, and Ring
Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...
🎁 Benefits
Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...
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Skills & Technologies
Overview
Amazon is hiring a Senior Machine Learning Engineer to build and maintain scalable data infrastructure for AI robotics research. You'll work with AWS and Python to design dataset management systems and develop data visualization tools. This position requires experience in data engineering and machine learning.
Job Description
Who you are
You have 5+ years of experience in data engineering and machine learning, with a strong background in building scalable data infrastructure that supports advanced AI applications. Your expertise in Python allows you to develop efficient data processing pipelines and automate workflows, ensuring high-quality data for research projects.
You are familiar with AWS services and have experience leveraging cloud infrastructure to enhance data management and processing capabilities. Your understanding of data analysis techniques enables you to assess data quality and implement effective filtering methods, ensuring that datasets are reliable and ready for use in machine learning models.
You thrive in collaborative environments and enjoy working closely with science teams to support their research initiatives. Your ability to communicate complex technical concepts clearly helps bridge the gap between engineering and research, fostering a productive partnership.
Desirable
Experience with state-of-the-art data filtering techniques, including deduplication and quality scoring, is a plus. Familiarity with visualization tools for dataset exploration will enhance your contributions to the team.
What you'll do
In this role, you will design and maintain scalable data infrastructure that supports cutting-edge AI robotics research at Amazon. You will be responsible for developing dataset management systems, including automated pipelines for data ingestion, processing, and curation. Your work will involve creating visualization and inspection tools that facilitate dataset exploration and quality assessment.
You will research and implement advanced data filtering techniques to ensure the integrity and usability of datasets. Collaborating directly with science teams, you will contribute both technically and strategically to data preparation workflows, helping to drive innovative research projects.
Your contributions will play a crucial role in advancing Amazon's AI robotics initiatives, as you leverage the company's vast computational resources and rich datasets to train and deploy state-of-the-art foundation models. You will tackle complex challenges in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in real-world scenarios.
What we offer
At Amazon, you will be part of a team that is not just advancing robotics but reimagining it from the ground up. We offer a competitive salary and a comprehensive benefits package, including medical, financial, and other perks. You will have the opportunity to work on impactful projects that shape the future of intelligent robotics, all while collaborating with some of the brightest minds in the industry.
Join us in building systems that don't just work in the lab but scale to meet real-world demands. We encourage you to apply even if your experience doesn't match every requirement — your curiosity and willingness to learn are just as important to us.
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