Summary
Posted: Sep 23, 2024
Role Number: 200568487
Apple is seeking an exceptionally creative and innovative Computer Vision and Machine Learning (CVML) R&D Engineer to join a team of industry-leading developers in their pursuit of generative machine learning algorithms for 3D human generation, simulation, and manipulation. You will design and implement ML algorithms and systems while working closely with a small, collaborative team. Be forward-thinking in a fast-paced, start-up-like environment, with a focus on enabling the team to scale productively and efficiently. You will collaborate with cross-functional teams to develop powerful algorithms and systems that power Apple's next-generation products.
Description
At Apple, we demonstrate the latest technologies to create incredible user experiences. As a CVML R&D Engineer, you will design and implement generative ML algorithms and systems for 3D synthetic human generation, simulation, and manipulation. The potential projects include machine learning-based geometry generation, deformation, simulation, and augmentation, texture generation and synthesis, domain adaptation, and about 3D synthetic human generation. You will work with cross-functional teams in synthetic data, core computer vision algorithms, ground-truth and reconstruction, and application engineering, to develop groundbreaking algorithms and systems that power Apple's next-generation products.
- BS and a minimum of 3 years relevant industry experience.
- Excellent programming skills in Python and/or C/C++ in a Linux and/or MacOS environment.
- Strong foundation in data structures and algorithms, 3D geometry processing, and linear algebra.
Preferred Qualifications
- MS or PhD in Machine Learning, Computer Science, Computer Graphics, or a related field, or equivalent professional experience.
- Deep expertise in computer vision and machine learning, with a strong focus on deep generative models (e.g., GANs, VAEs, diffusion models).
- Track record of published research in top-tier computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, or other leading forums, demonstrating your contributions to advancing the state-of-the-art in computer vision and machine learning, is a plus.
- Familiarity with modern graphics technology for high-fidelity 3D human generation, such as photogrammetry, anatomy-based rigging, computational hair modeling, physics-based hair/cloth simulation, or physically-based shading, would be a plus.
- Knowledge of modern vision data visualization methods, such as 3D Gaussian Splatting, neural volume rendering, is a plus.
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 $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.
Note: Apple benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
More
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. Learn more about your EEO rights as an applicant.
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