Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?
Work hard. Have fun. Make history.
Are you an experienced Computer Vision, Machine Learning and/or Deep Learning researcher who is capable of diving deep into hard technical problems and coming up with insightful solutions that enable successful products? Are you unafraid of tackling a mind-bending challenge that really will improve peoples' lives in a meaningful way? Would you love to get access to large datasets with billions of images and video to build large-scale machine learning systems? Are you a finisher who can deliver robust, production-quality code that solves complex, real-world problems in ways that delight customers?
If this describes you, come join the Computer Vision and Machine learning team at Lab126 in the heart of Silicon Valley. The team is [AT1] using computer vision, image recognition, machine learning, real-time and distributed systems to convert requirements into concrete deliverables. A Researcher on this team will translate business and functional requirements into quick prototypes or proofs of concept. Comfort with a high degree of ambiguity and ability to solve problems that haven’t been solved to scale before are essential.
- Research, design, implement and evaluate novel computer vision algorithms
- Work on large-scale datasets, focusing on creating scalable and accurate computer vision systems in versatile application fields
- Collaborate closely with team members on developing systems from prototyping to production level
- Collaborate with teams spread all over the world
- Work closely with software engineering teams to drive scalable, real-time implementations
- Track general business activity and provide clear, compelling management reports on a regular basis