Machine Learning Engineer, Intelligent Sensing Technology - Incubation

Apple, Inc.; Stati Uniti; In loco; USD 150.000 - 230.000; Tempo pieno

Descrizione del lavoro

Apple, Inc. is seeking a creative ML Research Engineer to join the Camera Incubation team. You will work across model training, systems integration, and rapid prototyping to explore intelligent cameras that sense and interpret complex environments.

Driven by curiosity, you will prototype architectures for multimodal sensing, edge deployment, and end-to-end ML pipelines, collaborating with hardware, software, and design teams. Expect ambiguity, rapid iteration, and high-impact exploration.

Competenze

• BS with at least 3 years of industry experience in ML or AI engineering.
• Familiarity with transformers, reinforcement learning, and predictive inference.
• Proficiency in PyTorch and modern ML frameworks; practical tooling for 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 for edge/mobile platforms.
• MS or PhD with substantial applied research experience.
• Ability to communicate technical tradeoffs and risks to technical and non-technical collaborators.
• Adaptability in ambiguous environments and cross-disciplinary collaboration.
• Experience in research, incubation, or early-stage exploratory environments.
• Background in robotics, embedded systems, or real-time sensing pipelines.
• Knowledge of Bayesian reasoning and methods.
• Experience with physics-based ML (physics-informed neural networks, sim-to-real).
• Cross-disciplinary collaboration across hardware, software, design and research.

Conoscenze

Transformers

Reinforcement learning

Predictive inference

PyTorch

ML tooling

End-to-end ML pipelines

Multimodal sensing

Edge deployment

Communication

Adaptability

Research environment

Robotics/Embedded systems

Bayesian methods

Physics-based ML

Cross-functional collaboration

Formazione

BS

MS or PhD with substantial applied research

Descrizione del lavoro

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring curiosity, passion, and dedication to your job and there's no telling what you could accomplish!

Our Camera Incubation team is a multi-disciplinary team responsible for looking down the road and prototyping new experiences, architectures and technologies. We collaborate with design and product teams to bring new features across the Apple product line. Join us as together we explore concept prototypes, helping shape what intelligent cameras can sense, understand, and do—and the experience they create for the people who use them.

We're looking for a creative ML Research Engineer to join our incubation team, where you'll work across the full stack, from model training and systems integration to rapid prototyping. While working on a diverse portfolio of exploratory projects, you'll bring deep practical knowledge of ML/AI architectures and multimodal sensing applied to physical spaces, paired with a design-centric approach to moving ideas from experiment to integrated system. The ideal candidate is energized by open questions, comfortable navigating ambiguity, quick to reorient when new data shifts the direction, and always able to clearly articulate the motivation, tradeoffs, and risks behind their approach.

• BS and a minimum of 3 years relevant 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 a practical approach to tooling that includes AI-assisted development as a natural part of the workflow
• Proven experience building end-to-end ML pipelines, from data acquisition and preprocessing through training, evaluation, and deployment
• Experience architecting and integrating sensing systems that fuse multimodal signals (e.g. vision, audio, IMU, LiDAR) with ML models running on mobile, wearable, or robotic platforms
• MS or PhD with substantial applied research experience in a relevant area
• Ability to clearly communicate technical tradeoffs, risks, and rationale to both technical and non-technical collaborators
• Demonstrated comfort with ambiguity and a track record of adapting quickly when direction shifts
• Experience working in a research, incubation, or early-stage exploratory environment
• Familiarity with on-device or edge ML deployment and its associated constraints
• Background in robotics, embedded systems, or real-time sensing pipelines
• Knowledge of practical Bayesian reasoning and methods
• Experience with physics-based machine learning — including physics-informed neural networks, simulation-to-real transfer, or learned physical models
• Cross-disciplinary collaboration experience — hardware, software, design, and research