Machine Learning Engineer
Sunnyvale, California, United States
Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways.Summary
Posted: May 3, 2024Role Number:200549813
As a machine learning engineer/researcher on the Apple Vision Pro team, you will orchestrate ground breaking artificial intelligence development and initiatives that are poised to revolutionize spatial computing! Our mission is to leverage computer vision fused with other modalities to understand human interactions with the physical, social, and virtual worlds. Our primary focus revolves around using machine learning for gaze tracking, paving the way for seamless and intuitive user experiences in the spatial computing era. In this pivotal role, you will work with world-class computer vision and machine learning researchers and engineers, as well as the best talents in other domains like silicon, camera technology, and VFX to collectively take on previously unsolved challenges and push the state of the art in the field. As a member of our team, you have the unique and great opportunity to craft upcoming products that will delight and inspire millions of people every day.
Key Qualifications
- Domain expertise in training deep neural nets, such as CNN and transformers and proficiency in least one deep learning framework, for example PyTorch, TensorFlow
- Strong fundamentals in 3D geometry and geometric computer vision
- Strong interpersonal skills and ability to collaborate in a diverse environment
- Publication record in relevant venues (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV and etc) or track record of optimally building and shipping computer vision products
Description
Inventing and implementing state of the art computer vision algorithms to solve cutting edge problem. Bring research ideas to production and directly impacting Apple products. Collaborating with other teams in software and hardware to ensure the full pipeline runs efficiently and utilizes Apple hardware effectively. Have the opportunity to and present your work in world-class scientific venues in machine learning.
Education & Experience
BS and a minimum of 3 years relevant industry experience
Pay & Benefits
- 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 $138,900.00 and $256,500.00, 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 take affirmative action to ensure 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.
Tags: Computer Vision Deep Learning ICLR ICML Machine Learning NeurIPS PyTorch Research TensorFlow Transformers
Perks/benefits: Career development Health care Relocation support
Region:
North America
Country:
United States
Job stats:
14
3
0
Categories:
Engineering Jobs
Machine Learning Jobs
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