Senior Machine Learning Engineer
Austin, Texas, United States
Software and Services
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, hardworking people and inspiring, innovative technologies are the norm here. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple Retail innovation. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the outstanding and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day. Are you interested in building products that use machine learning and pattern recognition algorithms? Are you looking to apply your state-of-the-art knowledge to produce new features Apple Retail that actually get deployed and used daily? The Apple Retail Apps engineering team is looking for an extraordinary engineer to help develop its next generation of machine learning and computer vision solutions.
- Experience with computer vision or pattern recognition algorithms
- Experience with modern machine learning algorithms
- Strong programming, debugging and strong design skills
- Ability to handle several concurrent projects
- Ability to work independently
- Excellent problem solving, critical thinking, and interpersonal skills
- Ability to produce creative and innovative solutions to hard problems
We are looking for a Computer Vision Engineer who will be responsible for building a strong team and products from the ground up. You will be prototyping exciting new ideas related to features that the Retail Apps team will be shipping in the future. An ideal candidate should have experience in image or deep learning, neural networks and other statistical pattern recognition systems.
Education & Experience
Ph.D. in Computer Vision, Pattern Recognition or Signal Processing, and 3+ years experience MS in Computer Vision, Pattern Recognition or Signal Processing, and 6+ years experience