Senior ML Engineer, GenAI for Supply Chain Ops

Apple Inc.

Sunnyvale (CA)

On-site

USD 185,000 - 278,000

Full time

6 days ago
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Job summary

Apple Inc. in Sunnyvale, CA is seeking an experienced Sr. Software Engineer (Machine Learning) to design and deploy GenAI-powered ML solutions for Sales & Operations. You will collaborate with cross-functional teams to integrate analytics into enterprise systems and scale models across large environments.

The role requires strong Python, ML deployment, and GenAI expertise, with a track record of delivering impactful AI projects in production settings.

Qualifications

  • MS in Computer Science, Machine Learning, Applied Math or a related field.
  • 5+ years of industry experience developing Machine Learning solutions.
  • Hands-on Python programming experience.
  • Experience deploying ML solutions to production.

Responsibilities

  • Design and develop ML models including Generative AI for supply chain use cases.
  • Collaborate with cross-functional teams to integrate analytics into enterprise systems.
  • Stay abreast of ML and GenAI advances and identify ROI opportunities.
  • Ensure analytics solutions are scalable across large enterprise environments.
  • Guide partner teams to enable data strategy and robust deployment at scale.
  • Communicate results to partners and leaders to influence decisions.
  • Provide mentorship and contribute to analytics team growth.

Skills

Python
GenAI
Production ML
ML deployment
Reinforcement Learning

Education

MS in Computer Science / ML / Applied Math
PhD in Computer Science / ML / Applied Mathematics

Tools

TensorFlow
PyTorch
C++

Job description

Apple Inc. in Sunnyvale, CA is seeking an experienced Sr. Software Engineer (Machine Learning) to design and deploy GenAI-powered ML solutions for Sales & Operations. You will collaborate with cross-functional teams to integrate analytics into enterprise systems and scale models across large environments.

The role requires strong Python, ML deployment, and GenAI expertise, with a track record of delivering impactful AI projects in production settings.

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