Sr. Software Development Engineer (Applied ML) - Hardware Product Design
AI summary of the role
Senior applied ML engineer on Apple's DataViz team in Hardware Engineering, partnering with the Advanced Development Lab to integrate ML into machining and prototyping workflows.
What you’ll do
- Design, build, and own ML systems end-to-end for ADL machining and design-for-manufacturing workflows
- Make architectural calls on which ML approach fits each problem and when to retire non-scaling systems
- Work directly with machinists and engineers to understand constraints and iterate with tight feedback loops
- Choose appropriate tools (classical statistics, ML, deep learning, generative AI, or algorithmic) and communicate rationale
What you’ll bring
- Bachelor's + 7 YOE, Master's + 5 YOE, or PhD + 2 YOE in CS, Math, Stats, Physics, Engineering, Robotics or similar
- Strong Python and fluency with standard ML stack; practical fluency with LLMs/VLMs in production
- Full-lifecycle ML experience including problem framing, data, training, evaluation, iteration with real users
- Hands-on experience with agentic AI systems and evaluation frameworks for contested/expensive/partial ground truth
Technologies
Python · LLMs · VLMs · agentic AI · 3D geometry · STEP · mesh · BRep · OpenCASCADE · Trimesh · PyTorch3D · CAD/CAM
About Apple
Designs and sells iPhone, Mac, iPad, Watch, and Vision Pro plus a $100B+ Services layer (App Store, iCloud, Apple Pay, Music, TV+) atop a 2.5B device installed base.
Public
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