Machine Learning Research Engineer

Sunnyvale, California, United States
Machine Learning and AI
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Summary

Posted:
Role Number:200537172
The Video Computer Vision org is a centralized applied research and engineering team responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We have contributed to the algorithms driving FaceID and FaceKit in the past and more recently to the new Apple Vision Pro. As a member of the Video Computer Vision group you will perform cutting-edge artificial intelligence research that will craft the future of spatial computing. We are looking for the right Machine Learning Research Engineer to help us take our efforts to the next level. You will be part of a community of researchers and engineers who are passionate about pushing the boundaries of what is possible with spatial computing and AI. We value a culture of learning, intellectual curiosity, and exploration, and we believe that your passion and expertise will help us create revolutionary products that delight and inspire millions of people every day.

Key Qualifications

  • Deep understanding of machine learning technology
  • Experience with training large-scale models, especially diffusion models
  • Solid foundation in computer vision; key areas of interest include multiple view geometry, 3D computer vision and 3D reconstruction
  • Strong programming skills in Python, C/C++, CUDA or other GPGPU
  • Expertise with implementing models in at least one deep learning framework, for example PyTorch, TensorFlow, or Jax
  • Passion on cutting edge AI and spatial computing technologies and product delivery
  • Self motivated
  • Excellent problem solving skills
  • Excellent communication skills

Description

We are looking for a proactive Machine Learning Research Engineer to join our team and help design algorithms for spatial computing and AI. The ideal candidate will have a strong passion to deliver high quality products and solve challenging technical real world problems. The main tasks associated to this position range from algorithm development, design and implementation, to integration, optimization and benchmarking. In this position, you will work closely with similar highly skilled minds in a unique development team to build our stack of state of the art AI and spatial computing algorithms.

Education & Experience

BS and a minimum of 3 years relevant industry experience

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.
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