Sr. Applied Scientist, Classification and Policy Platform jobs in United States
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Amazon · 1 week ago

Sr. Applied Scientist, Classification and Policy Platform

positionSeattle, WA
timeFull-time
remoteOnsite
seniorityMid, Senior Level
money$150K/yr - $260K/yr
date4+ years exp

Amazon is a leading company focused on customer-obsessed scientific innovation. They are seeking a Senior Applied Scientist to develop technology for monitoring and classifying products to ensure legal compliance, leveraging machine learning and large datasets.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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H1B Sponsor Likelynote

Responsibilities

Designing and implementing new features and machine learned models, including the application of state-of-art deep learning to solve search matching and ranking problems, including filtering, new content indexing, and apply document understanding
Conducting and coordinating process development leading to improved and streamlined processes for model development. Strong customer focus is essential
Working closely with Product Managers to expand depth of our product insights with data, create a variety of experiments, and determine the highest-impact projects to include in planning roadmaps
Providing technical and scientific guidance to your team members
Communicating effectively with senior management as well as with colleagues from science, engineering, and business backgrounds
Being a cultural leader that ensures teams are collecting, understanding, and using data to inform every decision that impacts our customers

Qualification

Machine learning modelsDeep learning methodsLarge datasetsJava programmingPython programmingC++ programmingModeling toolsDistributed systemsProject managementCommunication skillsCustomer focus

Required

4+ years of applied research experience
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning

Preferred

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc
Experience with large scale distributed systems such as Hadoop, Spark etc

Benefits

Equity
Sign-on payments
Medical
Financial
Other benefits

Company

Amazon

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Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
dateFounded in 1994
location
Seattle, Washington, USA
people-size10001+ employees
web-link
https://amazon.com

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 Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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