Be an early applicantLess than 25 applicants

Company

Original Job Post

Amazon · 2 days ago

Applied Scientist, RISC

Sunnyvale, CA

Full-time

Onsite

Senior Level

$136K/yr - $222K/yr

5+ years exp

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Responsibilities

Design and evaluate state-of-the-art algorithms and approaches in multi-modal classification, large language models (LLMs), intent detection, information retrieval, anomaly and fraud detection, and generative AI.

Translate product and CX requirements into measurable science problems and metrics.

Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact.

Key author in writing high quality scientific papers in internal and external peer-reviewed conferences.

Understanding customer problems, project timelines, and team/project mechanisms.

Proposing science formulations and brainstorming ideas with team to solve business problems.

Writing code, and running experiments with re-usable science libraries.

Reviewing labels and audit results with investigators and operations associates.

Sharing science results with science, product and tech partners and customers.

Writing science papers for submission to peer-review venues, and reviewing science papers from other scientists in the team.

Contributing to team retrospectives for continuous improvements.

Driving science research collaborations and attending study groups with scientists across Amazon.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

JavaC++PythonNeural deep learningMachine learningCorporate settingSystem PerformanceScalabilityProblem-SolvingAnalytical Thinking

Required

PhD, or Master's degree and 5+ years of applied research experience

Experience programming in Java, C++, Python or related language

Experience with neural deep learning methods and machine learning

Experience with conducting research in a corporate setting

Preferred

Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

Benefits

Equity

Sign-on payments

Medical benefits

Financial benefits

Company

Amazon

Glassdoor

3.7

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

Founded in 1994

Seattle, Washington, USA

10,001+ employees

https://amazon.com

H1B Sponsorship

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Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (14000)

2022 (23375)

2021 (15334)

2020 (14558)