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Machine Learning and Computer Vision Engineer
Cupertino, CA
Job Description
Summary
Posted: Aug 18, 2023
Role Number:200497145
The Video Computer Vision organization is working on exciting technologies for future Apple products. Building upon our previous successes in ML solutions such as FaceID and the RoomPlan framework utilizing LIDAR sensors, we are expanding our horizon to explore and develop state-of-the-art generative AI solutions. As part of the Spatial Perception Team (SPT), we are not only looking to understand scenes but also generate, recreate, and innovate them using deep generative models. In this role, you will be at the forefront of inventing generative algorithms with real-world applications, leading the development of both 2D and 3D generative models, and ensuring the efficient evaluation and performance understanding of these models.
Key Qualifications
Description
Designing and developing generative neural networks and algorithms - from training and evaluation to in-depth failure analysis. Building end-to-end pipelines that prioritize swift model evaluations and rapid iterations. Teaming up with algorithm engineers to deep-dive into intricate generative model challenges. Working cross-functionally to bring generative computer vision algorithms to real-world applications - this spans everything from data labeling to QA and implementation.
Education & Experience
MS with 3+ years industry experience, or PhD in computer science or related fields, especially with a focus on generative AI, vision-language models, and multimodal learning.
Additional Requirements
Pay & Benefits
Posted: Aug 18, 2023
Role Number:200497145
The Video Computer Vision organization is working on exciting technologies for future Apple products. Building upon our previous successes in ML solutions such as FaceID and the RoomPlan framework utilizing LIDAR sensors, we are expanding our horizon to explore and develop state-of-the-art generative AI solutions. As part of the Spatial Perception Team (SPT), we are not only looking to understand scenes but also generate, recreate, and innovate them using deep generative models. In this role, you will be at the forefront of inventing generative algorithms with real-world applications, leading the development of both 2D and 3D generative models, and ensuring the efficient evaluation and performance understanding of these models.
Key Qualifications
- Extensive knowledge in generative machine learning techniques, including but not limited to diffusion models, GANs, VAEs, and transformer architectures.
- Experiences in vision-language models, multimodal machine learning, and image/video generation tasks.
- Strong coding skills in python. C++ is a plus.
- Expertise in visualizing generative models' outputs and results.
- Creativity and curiosity for solving highly complex problems
- Excellent communication and collaboration abilities.
Description
Designing and developing generative neural networks and algorithms - from training and evaluation to in-depth failure analysis. Building end-to-end pipelines that prioritize swift model evaluations and rapid iterations. Teaming up with algorithm engineers to deep-dive into intricate generative model challenges. Working cross-functionally to bring generative computer vision algorithms to real-world applications - this spans everything from data labeling to QA and implementation.
Education & Experience
MS with 3+ years industry experience, or PhD in computer science or related fields, especially with a focus on generative AI, vision-language models, and multimodal learning.
Additional Requirements
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.
Job Summary
Company
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Education
Doctorate
Required Experience
3+ years
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