Machine Learning Algorithm and Software Engineer

Apple Inc.; Sunnyvale (CA); On-site; USD 150,400 - 277,600; Full time

Job summary

Apple Inc. in Sunnyvale, CA is seeking an on-device Machine Learning Engineer to develop and implement state-of-the-art computer vision and graphics algorithms for Apple Vision Pro's Eyesight and related technologies.

The role involves working across data collection, processing, model training, tuning, and shipping algorithms in on-device software frameworks, balancing performance and power efficiency on iOS, visionOS and watchOS.

Qualifications

• 3+ years of industry experience developing and implementing computer vision, ML, or computer graphics algorithms on-device.
• Coding skills in Python and C/C++.
• Knowledge of optimizing algorithms and software for resource constrained low-power devices.
• Experience in 3D computer vision and image processing.
• BS Degree in relevant field

Responsibilities

• Develop and implement state-of-the-art computer vision and graphics algorithms for on-device use.
• Participate in data collection design, data processing, model training and optimization.
• Prototype, validate and ship ML models into on-device software frameworks.
• Collaborate with ML researchers, software, data and hardware engineers across Apple.

Skills

Python

C/C++

On-device ML

Education

BS Degree in relevant field

Tools

PyTorch

JAX

Job description

Machine Learning Algorithm and Software Engineer

Sunnyvale, California, United States Machine Learning and AI

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other cutting-edge technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation, robotics and health applications impacting millions of users.

Description

Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled on-device Machine Learning Engineer for developing and implementing state-of-the-art computer vision and graphics algorithms. We are actively involved in the whole feature cycle from data collection design and data processing to model training, optimization, and shipping algorithms in on-device software frameworks. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features across various Apple products, such as iOS, visionOS and watchOS. In this role, you will play a crucial role in bringing innovative features to Apple devices. You will work at the intersection of machine learning, software engineering, and hardware optimization to build high-performance, power efficient applications. We contribute to the entire feature lifecycle, from proposing novel algorithms, prototyping, validating, training ML models and tuning them to shipping software. We work closely with other ML researchers as well as data, software and hardware engineers both in internal and cross-functional teams across Apple. The ideal candidate will have a strong background in computer vision, machine learning and software development with particular expertise in implementing efficient algorithmic solutions for low power on-device applications.

Minimum Qualifications

• 3+ years of industry experience developing and implementing computer vision, ML, or computer graphics algorithms on-device
• Coding skills in python and C/C++.
• Knowledge of optimizing algorithms and software for resource constrained low-power devices.
• Experience in 3D computer vision and image processing.
• BS Degree in relevant field

Preferred Qualifications

• Familiarity with ML learning techniques such as CNN, transformers, and diffusion models.
• Proficiency in frameworks such as PyTorch or JAX.
• Strong problem solving skills with proven experience in contributing to end2end projects life cycle from data acquisition and processing, algorithm development, prototyping to shipping software at scale.
• Excellent communication and teamwork skills.

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.

Learn about accessibility in Apple’s workplace.

Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.