Machine Learning Engineer

Apple Inc.; Seattle (WA); On-site; USD 175,000 - 308,500; Full time

Job summary

Apple Inc. in Seattle, WA, is seeking a skilled Machine Learning Engineer to advance Video Computer Vision, Eyesight, Persona, and VisionOS technologies. You will join a team of researchers and engineers delivering ML solutions across data collection, model design, experiments, and QA, shipping features to visionOS and iOS platforms.

The role emphasizes end-to-end ML development, collaboration with multi-functional teams, and delivering high quality CV/graphics features at scale.

Qualifications

• BS degree and 10+ years of experience.
• Proficiency in Python and PyTorch.
• Experience with ML for computer vision and graphics.

Responsibilities

• Develop ML models for computer vision and graphics used in Vision Pro.
• Collaborate with data and software engineers to ship features on visionOS and iOS.

Skills

Python

PyTorch

CV/graphics ML

Education

BS degree

MS degree

PhD degree

Job description

Seattle, Washington, United States Machine Learning and AI

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS 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 and motion impacting millions of users.

Description

Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.

Minimum Qualifications

• Software engineering skills and proficiency in Python
• Experience with PyTorch
• BS degree and 10+ years of experience

Preferred Qualifications

• Passion for delivering high quality features to large groups of diverse end-users
• Excellent communication and experience working with multi-functional teams
• Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule
• MS degree in computer vision, computer graphics, machine learning or related field
• PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.

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 $175,000 and $308,500, 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.