Machine Learning Algorithm Engineer

Apple Inc.; Sunnyvale (CA); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Stock programs

Stock Purchase Plan

Medical coverage

Retirement benefits

Employee discounts

Education reimbursement

Job summary

Apple Inc. in Sunnyvale, CA seeks a Machine Learning Engineer to develop realtime, resource-constrained models powering Vision Pro inputs and AI features. You will prototype features end-to-end with hardware, software, and design partners, and design data collections for model development and evaluation.

The role requires 2+ years in ML model development, proficiency in Python, and experience with CNNs and compression techniques. Strong collaboration across teams is essential.

Qualifications

• 2+ years of experience building ML models, with data prep, architecture selection, training and evaluation.
• Proficiency in Python for data analysis and model development.
• Experience building realtime, resource-constrained models using CNNs and compression techniques.
• Experience using GenAI tools for software development.
• BS in CS, EE, or related field / equivalent experience.

Responsibilities

• Prototype and define features end-to-end with HW, SW, and design partners.
• Design data collections and synthetic data generation for model development.
• Define key performance indicators to evaluate UX impact of model performance.
• Develop realtime, resource constrained models powering user input.
• Collaborate with cross-functional teams to root cause issues throughout the feature stack.
• Communicate user impacts of technical challenges to cross-functional stakeholders.

Skills

ML model development

Python

Cross-functional collaboration

Problem solving

CNNs

Education

BS in CS or EE

MS/PhD in CS or EE

Tools

PyTorch

TensorFlow

GenAI tools

C++

Job description

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

• 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

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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
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Apple accepts applications to this posting on an ongoing basis.