Sr.Software Engineer (Machine Learning), Ops & Sales Engineering
Core
Applying Generative AI and Machine Learning to solve complex supply chain challenges including demand forecasting, inventory optimization, and logistics planning for Apple's global operations.
Role type
Senior Applied Machine Learning Engineer (GenAI/Supply Chain)
Builds
Scalable GenAI and ML solutions integrated into enterprise systems for strategic and executional decision-making.
Domain
Supply Chain Management + Generative AI
Deliverable
production ML models
Required skills
Generative AI, demand forecasting, inventory optimization, logistics planning, Python, production ML deployment, cross-functional integration, enterprise-scale solution design, strategic project leadership, team mentorship
Preferred skills
PhD in CS/ML/Math, 10+ years experience, C++, TensorFlow, PyTorch, NLP, large language models, retrieval-augmented generation, fine-tuning, prompt engineering, agentic systems, reinforcement learning, SQL, Spark, graph databases, cloud platforms, MLOps, uncertainty estimation, human-in-the-loop controls
Technologies
Python, C++, TensorFlow, PyTorch, SQL, Spark, graph databases, cloud platforms
Responsibilities
Design and develop advanced ML models focusing on GenAI for supply chain use cases; Integrate analytics solutions into enterprise systems with engineering and data teams; Identify high ROI opportunities for GenAI over multi-year horizons; Guide partner teams on analytics data strategy and infrastructure for robust deployment; Communicate insights to senior leaders and influence decision-making; Provide mentorship to team members
Seniority
Senior, hands-on IC with strategic leadership
