Amazon's global inventory and supply chain network needs innovative Reinforcement Learning algorithms to optimize operations and enhance customer satisfaction by managing decisions that impact billions of dollars worth of inventory.
Requirements
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Responsibilities
- Design, implement, and evaluate innovative models, agents, and software prototypes.
- Collaborate with a team of experienced scientists to drive technological advancements.
- Develop innovative solutions to complex business problems in collaboration with partner teams.
- Contribute to Amazon's global science community through collaboration and publication of ground-breaking research.
- Engage in research projects that contribute to the wider scientific community, sharing findings through publications in top-tier journals and conferences.
Other
- PhD, or Master's degree and 6+ years of applied research experience
- Our team is at the forefront of machine learning research.
- We foster a collaborative environment where exploration of new ideas and tackling complex problems is encouraged.
- For scientists passionate about impactful research in machine learning and AI, our team offers a dynamic and fulfilling environment to make a tangible difference in the field and Amazon's operations.
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
