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Apple Machine Learning/Neural Rendering Algorithm Engineer United States, California, Sunnyvale 345222267
25.03.2025
Description
Your responsibilities will include:- Design and implement SOTA algorithms to solve challenging problems- Collaborating with other teams and provide SW/HW requirement for CVML applications- Present your work to leadership and in relevant world-class venuesThe team works on complex problems in computer vision that require robust, efficient, well tested, and clean solutions.
Minimum Qualifications
- Proficient in Python, good C++ programming background
- Domain expertise in designing, training and evaluating deep networks and proficiency in deep learning framework such as PyTorch
- Extensive knowledge and experience in one or more of these areas: Gaussian Splatting,NeRF, 3D reconstruction, Computer Graphics
- Publication record in relevant venues (e.g. NeurIPS, ICML, CVPR, SIGGRAPH etc) or track record of success in shipping computer vision products
- BS and 3+ years of experience
Preferred Qualifications
- Proactive, analytical thinking, excellent problem solving and communication skills
- Good understanding in 3DCV areas including: camera calibration, multi-view stereo,numerical optimization for CV problems
- Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, code reviews, source control management, and testing
- PHD in Computer Vision, Machine Learning, or Computer Graphics
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.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.
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