Amazon.com Services LLC

Applied Science, no business category

PrincipalAppliedScientist,PXT

$219–296k New York, New York, United States FULL TIME
The Brief

“Principal Applied Scientist, PXT at Amazon.com Services LLC. Skills: GenAI, Predictive modeling, Machine Learning, Data science. Own science strategy and technical vision. Lead team of applied scientists”

Industry & Context.

Applied Science, no business category
Problems you'll solve

Problem solving; Data-driven decision making

What They're Looking For.

Must Have

Master's degree and 6+ years of applied research experience, 5+ years of industry or academic research experience, Programming in Python or related language, 5+ years of building machine learning models or developing algorithms for business application experience, Experience in patents or publications at top-tier conferences, Extensive track record of leading technical projects, Experience mentoring junior scientists and engineers, Demonstrated expertise in deep learning and model development

Nice to Have

Track record of influencing software shipped at scale using science expertise, Experience working with real-world complex data sets and building models at Amazon scale, PhD preferred

What You'll Do.

Own science strategy and technical vision

Lead team of applied scientists

Shape how heterogeneous signals power talent applications

Identify opportunities for science investment

Build consensus around needed investments

Guide principal and senior scientists

Serve as strategic science advisor

Own development and delivery of complex science problems

Stay current with emergent AI/ML science and engineering

Influence focus areas

Participate in organizational planning

Participate in hiring

Participate in mentorship

Participate in leadership development

Lead technical initiatives in people science models

Drive breakthrough approaches through hands-on research

Design and implement novel ML architectures

Guide technical direction for research initiatives

Ensure robust performance in production environments

Mentor and develop senior scientists

Maintain individual technical contributions

Collaborate with engineering teams

Optimize and scale models

Influence technical decisions

Influence implementation strategies

Shape long-term platform architecture

How You'll Work.

Team & Collaboration

Cross-functional teams; Engineering teams

Free ATS check

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