Principal Applied Scientist: ML for Seller Success

Amazon

San Francisco (CA)

Hybrid

USD 198,900 - 269,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off

Job summary

Amazon is seeking a Principal Applied Scientist to join their Selling Partner Selection Success team in San Francisco. The role involves using machine learning and AI to create innovative solutions that empower sellers to enhance their businesses and enrich customer experiences.

Your responsibilities will encompass identifying business opportunities, proposing cutting-edge solutions, and collaborating closely with engineering teams to implement real-time features. Ideal candidates will have a PhD in a related field and substantial experience in applied research.

Qualifications

  • 8+ years of applied research experience.
  • Experience translating business problems into production systems.
  • Deep expertise in scientific foundations and latest developments.

Responsibilities

  • Drive technical vision that impacts business.
  • Create scalable seller-facing solutions using AI.
  • Analyze and optimize key business processes.

Skills

Python programming
Machine learning
Deep learning frameworks (PyTorch, TensorFlow)

Education

PhD in computer science or related fields

Job description

Amazon is seeking a Principal Applied Scientist to join their Selling Partner Selection Success team in San Francisco. The role involves using machine learning and AI to create innovative solutions that empower sellers to enhance their businesses and enrich customer experiences.

Your responsibilities will encompass identifying business opportunities, proposing cutting-edge solutions, and collaborating closely with engineering teams to implement real-time features. Ideal candidates will have a PhD in a related field and substantial experience in applied research.

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