Machine Learning Algorithm Engineer

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

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

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

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits