About the role

What will you do at Apple?

Join the engineering team that delivers core algorithms powering  Vision Pro’s

hand and gaze input and AI-powered experiences. Human Interface Devices (HID) is

looking for a Machine Learning Engineer with experience developing realtime,

resource constrained models for computer vision applications. We’re a mix of

signal processing, machine learning, and interaction algorithm engineers united

by a passion for building intuitive user interfaces and intelligence features

for the next generation of computing devices. Across Apple’s products, HID

bridges the gap between sensing technologies and user interfaces. The problems

you solve will be multidisciplinary and require strong collaboration and

communication with partners in sensor modules, algorithms, data, software, and

design. You’ll build features through the entire development cycle, from

prototyping and feature definition, data collection design, model development

and evaluation, and feature convergence.

DESCRIPTION

In this role, you will

* Prototype and define features end-to-end, in
collaboration with HW, SW, and design partners * Design data collections and
synthetic data generation for model development and evaluation * Define key
performance indicators to evaluate UX impact of model performance * Develop
realtime, resource constrained models that power user input and intelligence
features * Collaborate with cross-functional teams to root cause issues
throughout the feature stack * Communicate user impacts of technical challenges
to cross-functional stakeholders
MINIMUM QUALIFICATIONS
2+ years of experience building ML models, including data preparation,
architecture selection, training and evaluation (ex. PyTorch or TensorFlow)
Proficiency in Python for data analysis and model development Experience
developing realtime, resource constrained models using efficient architectures
(ex. CNNs) and compression techniques (ex. distillation and quantization)
Experience using genAI tools for SW development (Claude Code, Cursor, Codex,
etc.) Able to communicate clearly and collaborate with cross-functional teams
Excellent problem solving and root cause analysis skills BS in Computer Science
(CS), Electrical Engineering (EE) or a related field / equivalent experience
PREFERRED QUALIFICATIONS
Experience developing input or interaction technologies Experience building
distributed data processing pipelines Comfortable with signal processing
fundamentals Comfortable implementing realtime algorithms in C++ Experience
developing software with agentic workflows MS/PhD in Computer Science (CS),
Electrical Engineering (EE) or a related field / equivalent experience

Which skills does this role require?

Machine LearningComputer VisionPyTorchTensorFlowPythonCNNsModel DistillationQuantizationC++GenAI ToolsData AnalysisRoot Cause AnalysisSynthetic Data GenerationCNNDistillationGenAIClaude CodeCursorCodexApple Vision ProHIDSynthetic DataResource Constrained ModelsLLMsPrototyping

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