Apple AR/VR Job | Computer Vision ML Engineering Manager
Job（岗位）: Computer Vision ML Engineering Manager
Citys（岗位城市）: Seattle, Washington, United States
Date（发布日期）: 2023-12-18
Summary（岗位介绍）
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 interface technologies. This role involves leading a team of motivated and skilled engineers, with the objective to develop innovative algorithms, meticulously crafted to enable both existing and future Apple products.
Qualifications（岗位要求）
Leadership and management expertise in delivering sophisticated machine learning projects
Demonstrated expertise in deep learning with publication record (or a track record in applying techniques to products) in at least one of following topics: vision foundation models, representation learning, geometric computer vision, model interpretability, generative models.
Excellent software skills, on relevant programming languages (e.g., Python), frameworks (e.g., PyTorch or TensorFlow) and software development standard methodologies.
Outstanding interpersonal and communication skills, able to communicate complex topics to people from a variety of backgrounds and adapt to different audiences.
We would appreciate additional experience with managing the delivery of complex solutions in embedded systems and/or human input interfaces.
Description（岗位职责）
• Lead a group of hardworking engineers to develop sophisticated deep learning solutions
• Day-to-day management of the development process
• Delivering meaningful product features on time and with high quality
• Establish scalable processes across the team
To lead the team efficiently, you will draw deeply on your technical background. You should enjoy staying up to date and learning the new advances in the field. The ideal candidate will possess a strong background in deep learning and computer vision along with a record in leading teams to achieve outstanding results in a collaborative setting. To represent the team well, you will also need engineering breadth to have productive conversations with software and hardware technology engineers, designers, and other specialists.
