Machine Learning Engineer

Apple Inc.

Sunnyvale (CA)

On-site

USD 150,400 - 277,600

Full time

14 days+
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Job summary

Apple Inc. Sunnyvale, CA is seeking a Machine Learning Engineer to advance computer vision and graphics within the Video Computer Vision (VCV) Face and Body team.

You will contribute across the ML lifecycle from data collection and processing to model design, experiments, validation and QA, shipping features on iOS and VisionOS while collaborating with ML, data and software engineers. Required: 3+ years in ML for CV/graphics, Python proficiency, PyTorch experience, and a BA/BS in a related

Qualifications

  • 3+ years of ML experience in computer vision/graphics.
  • Proficiency in Python.
  • Experience with PyTorch.

Responsibilities

  • Participate in the full ML cycle from data collection to QA.
  • Design and experiment with ML models for vision and graphics.
  • Adapt state-of-the-art methods to ship features on iOS and VisionOS.
  • Collaborate with ML, data, and software engineers across teams.

Skills

Python
Machine learning
3+ years experience

Education

BA/BS in computer vision, graphics, ML or related field

Tools

PyTorch

Job description

Sunnyvale, California, United States — Machine Learning and AI

Our team delivers algorithms that power many Apple technologies, including Apple Vision Pro’s Eyesight and Persona. In this position, you will have the opportunity to 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. You will be 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. You will perform applied research development to adapt state‑of‑the‑art methods or implement new methods to ship features on iOS and VisionOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and cross‑functionally.

Minimum Qualifications
  • 3+ years of experience working on ML projects for computer vision / graphics applications.
  • Software engineering skills and proficiency in Python.
  • Experience with PyTorch.
  • BA/BS degree in computer vision, computer graphics, machine learning or related field.
Preferred Qualifications
  • MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.
  • Self‑motivated with proven ability to effectively prioritize and deliver tasks on schedule.
  • Excellent communication and experience working with cross‑functional teams.
Compensation and Benefits

Base pay for this role is within a range of $150,400 to $277,600, depending on your skills, qualifications, experience, and location. Apple employees may become shareholders through participation in Apple’s discretionary employee stock programs and can purchase Apple stock at a discount if voluntarily enrolling in the Employee Stock Purchase Plan. Additional benefits include comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for educational expenses related to advancing your career at Apple. This role might also be eligible for discretionary bonuses or commission payments as well as relocation.

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.

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