Computer Vision ML Engineer

at  Apple

SUMMARY

Posted: Jun 27, 2024
Role Number:200557448
Ever wanted to ship magical experiences in Apple products? Be part of the engineering team that uses computer vision and deep learning to produce the next generation of human interfaces! The ideal candidate is a highly skilled individual, who will flourish working on technically meaningful problems at the frontier of deep learning, with self-motivation, curiosity, and initiative to achieve ambitious goals. Your work will redefine the experience for billions of users.

DESCRIPTION

For this role we are looking for someone to join our algorithm team. Your main focus will be developing innovative solutions by interpreting and adapting cutting edge state of the art algorithms. By joining our team, you will get the chance to work with senior, talented Apple engineers and researchers while collaborating with other product teams internally. To succeed in this role, you need to be a deep learning engineer who also possesses solid programming skills. You should have productized ML solutions in the past and can iterate on ML models to improve quality metrics. You should enjoy staying up to date and learning the new advances in the field. We highly value testing, clear and scalable software design, proper documentation, and collaborative experience.

• Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR) or a track record in applying deep learning techniques to products, in at least one of following topics: vision foundation models, model interpretability, representation learning, geometric computer vision, or generative models.
• Deep knowledge and experience with software, covering relevant programming languages (e.g., Python), frameworks (e.g., PyTorch or TensorFlow) and best practices.
• Outstanding interpersonal and communication skills
• Bachelors degree and a minimum of 3 years relevant industry experience

PREFERRED QUALIFICATIONS

• We would appreciate additional experience with managing the delivery of complex solutions in embedded systems and/or human input interfaces.

• Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR) or a track record in applying deep learning techniques to products, in at least one of following topics: vision foundation models, model interpretability, representation learning, geometric computer vision, or generative models.
• Deep knowledge and experience with software, covering relevant programming languages (e.g., Python), frameworks (e.g., PyTorch or TensorFlow) and best practices.
• Outstanding interpersonal and communication skills
• Bachelors degree and a minimum of 3 years relevant industry experienc