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Generative Computer Vision Engineer - Apple Vision Pro

Lensa

Sunnyvale (CA)

On-site

USD 143,000 - 265,000

Full time

7 days ago
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Job summary

Lensa is seeking a Generative Computer Vision Engineer in Sunnyvale, CA, to join its innovative team working on Apple Vision Pro. This role involves implementing advanced computer vision algorithms and collaborating with diverse teams to shape cutting-edge products. With a focus on 3D computer vision and machine learning, candidates should possess a Ph.D. or a master's degree with relevant experience, alongside strong skills in Python and deep learning frameworks.

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Educational reimbursement

Qualifications

  • Ph.D. in Computer Vision or Machine Learning - or M.Sc. with 4 years experience.
  • Strong experience in machine learning, preferably in 3D computer vision.
  • Solid experience in deep learning frameworks like PyTorch or TensorFlow.

Responsibilities

  • Inventing and implementing state of the art computer vision algorithms.
  • Designing algorithms to work reliably and efficiently on mobile devices.
  • Collaborating with teams in software and hardware.

Skills

Machine Learning
3D Computer Vision
Problem Solving
Analytical Thinking
Collaboration

Education

Ph.D. in Computer Vision or Machine Learning
M.Sc. in related field with 4 years of experience

Tools

PyTorch
TensorFlow
Python
Numpy
Pandas
Matplotlib

Job description

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Level Home

Senior iOS Engineer, Consumer Electronics
Redwood City, CA

Sunnyvale, California, United States

Machine Learning and AI

Summary

Posted: Apr 01, 2025

Role Number: 200592806

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.

Apple Vision Pro is a revolutionary spatial computer that seamlessly blends digital content with your physical space. It will allow us to do the things we love in ways never before possible — all while staying connected to the people around us. In this position, you will join a team of computer vision and machine learning researchers and engineers to discover and build solutions to previously-unsolved challenges and push the state of the art.

We are looking for a driven and dedicated computer vision/machine learning engineer or researcher, optimally with experience in 3D computer vision algorithms, such as object detection, pose estimation, generative models, or tracking. As a member of a fast-paced team, you have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of people every day.

Description

You’ll be working in a team of computer vision and machine learning researchers and engineers to implement world class algorithms that pushes the state of the art. Your job responsibilities will include:

  • Inventing and implementing state of the art computer vision algorithms to solve cutting edge problems
  • Designing such algorithms to work reliably and efficiently on mobile devices
  • Collaborating with other teams in software and hardware to ensure the full pipeline runs efficiently and utilizes Apple hardware effectively
  • Cooperating with your team members to prepare presentations, papers, and talks to explain your inventions

Minimum Qualifications

Ph.D. in Computer Vision or Machine Learning - or - M.Sc. in related field with 4 years of experience

Strong experience in machine learning, preferably in 3D computer vision

Solid foundation in 3D geometry and linear algebra

Solid experience in deep learning frameworks like PyTorch or TensorFlow

Preferred Qualifications

Experience in generative ML is a big plus

Good experience in Python and science libraries like Numpy, Pandas, Matplotlib

Experience in C++ is a plus

Experience in 3D graphics and rendering is a big plus

Excellent communication and collaboration skills

Excellent problem solving and analytical thinking skills

Track record of successfully building and shipping products or open source projects

Creativity and curiosity for solving highly complex problems

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 $143,100 and $264,200, 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. (https://www.apple.com/careers/us/benefits.html)

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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Generative Computer Vision Engineer - Apple Vision Pro Sunnyvale, California, United States Machine Learning and AI Summary Posted: Apr 01, 2025 Role Number: 200592806 Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we...

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