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Apple Computer Vision ML Engineering Manager United States, Washington, Seattle 612445691
13.06.2024
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Description
• 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
Key Qualifications
- 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.
Education & Experience
BS and a minimum of 10 years relevant industry experience
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 $174,000 and $301,000, 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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