Sr. Applied Scientist, Amazon Connect jobs in United States
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Amazon · 20 hours ago

Sr. Applied Scientist, Amazon Connect

Amazon is part of the AWS Applied AI Solutions organization, focusing on providing innovative business applications powered by AI. The Senior Applied Scientist will lead the scientific agenda for AI systems, addressing complex business problems and driving solutions in ambiguous environments while influencing multiple teams.

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

Responsibilities

Lead the design, implementation, and delivery of scientifically-complex production solutions that address medium-to-large business problems
Drive your team's scientific agenda and propose new initiatives aligned with customer needs and business problems
Invent new methodologies or paradigms when existing approaches are insufficient
Influence across multiple teams to build consensus on technical direction and scientific approaches
Deliver significant portions of critical-path code that meets high quality standards (efficient, reproducible, testable, maintainable)
Actively mentor and develop other scientists, fostering a culture of scientific excellence

Qualification

Machine LearningProgramming in JavaC++PythonMentoring teamsModeling tools RModeling tools scikit-learnModeling tools etc.Large scale distributed systemsAWSCloud computingPatentsPublicationsInfluencingCollaboration

Required

PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
5+ years of building machine learning models or developing algorithms for business application experience
Experience programming in Java, C++, Python or related language
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience collaborating and influencing multiple teams across multiple organizations
Experience leading, mentoring and growing teams of scientists (teams of five or more scientists)

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
Experience working with engineering and product teams to define a product and bring it to market
Knowledge of AWS or cloud computing

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

Company

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

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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Company data provided by crunchbase