Amazon is looking to transform the shopping experience for fresh produce and build AI models for fresh monitoring at scale by developing next-generation AI systems that monitor fresh produce 24/7 to ensure the best quality produce is delivered to customers.
Requirements
- Experience programming in Java, C++, Python or related language
- Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- Experience using Unix/Linux
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Responsibilities
- Develop scalable machine learning and computer vision solutions for the fresh monitoring system
- Analyze and extract meaningful insights from large volumes of Amazon’s data to automate and enhance content
- Design, build, and evaluate generative AI models tailored to our business use cases
- Conduct s.o.t.a. research and implement novel machine learning techniques to solve customer problems
- Mentor interns and junior scientists
Other
- Communicate clearly with business stakeholders to understand and align on requirements
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 5+ years of building machine learning models or developing algorithms for business application experience
