ML Research Engineer, Intelligent Sensing & Edge AI

Apple, Inc.; Cupertino (CA); In loco; USD 150.000 - 278.000; Tempo pieno

Vantaggi offerti da questo lavoro

Relocation assistance

Apple stock program

Education reimbursement

Descrizione del lavoro

Apple in Cupertino, California, is seeking a creative ML Research Engineer for the Camera Incubation team. You’ll work across the full stack—from model training and systems integration to rapid prototyping—and explore new architectures for intelligent cameras.

The ideal candidate has hands-on ML/AI experience with multimodal sensing, edge deployment on mobile or robotic platforms, and a proven ability to communicate tradeoffs and risks to technical and non‑technical partners.

Competenze

• BS and at least 3 years of industry experience in machine learning or AI engineering.
• Familiarity with state-of-the-art architectures including transformers, reinforcement learning, and predictive inference.
• Strong coding skills across modern ML frameworks (e.g. PyTorch) with practical tooling including AI-assisted development.
• Experience building end-to-end ML pipelines from data acquisition to deployment.
• Experience fusing multimodal signals (vision, audio, IMU, LiDAR) with ML models on mobile/wearable/robotic platforms.

Mansioni

• Work across the full stack from model training to rapid prototyping.
• Collaborate with hardware, software, design, and research teams to explore new ML architectures.

Conoscenze

ML/AI engineering

Transformer models

PyTorch

End-to-end ML pipelines

Multimodal sensing

Formazione

Bachelor's degree in a relevant field

MS or PhD with substantial applied research

Descrizione del lavoro

Apple in Cupertino, California, is seeking a creative ML Research Engineer for the Camera Incubation team. You’ll work across the full stack—from model training and systems integration to rapid prototyping—and explore new architectures for intelligent cameras.

The ideal candidate has hands-on ML/AI experience with multimodal sensing, edge deployment on mobile or robotic platforms, and a proven ability to communicate tradeoffs and risks to technical and non‑technical partners.