PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience programming in Java, C++, Python or related language
Experience in building machine learning models for business application
1+ years of practical machine learning experience
1+ years of hands-on predictive modeling and large data analysis experience
Experience in professional software development
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience with PyTorch
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, NY, New York - 172,400.00 - 223,400.00 USD ann
Additional Information
Our team is at the forefront of machine learning research. Led by scientists including Dean Foster, the team is dedicated to developing innovative RL algorithms and applying them to complex, real-world challenges in Amazon's global inventory and supply chain network. Our focus is not just on advancing theoretical knowledge but also on implementing these insights to optimize operations and enhance customer satisfaction.
We foster a collaborative environment where exploration of new ideas and tackling complex problems is encouraged. The supply chain spans a wide range of operations,managing decisions that impact billions of dollars worth of inventory. 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.
Key job 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.
A day in the life
As a part of our team, you will be working alongside thought leaders like Dean Foster, contributing to academic research and complex, real-world applications. Your work will directly influence Amazon's global inventory planning systems, shaping decisions that affect billions of dollars worth of inventory and a wide array of product lines.
You will tackle complex inventory planning challenges using Reinforcement Learning, contributing both to the theoretical aspect of the field and its practical applications. We value innovative thinking and the ability to approach problems from new perspectives.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
Amazon.com · New York, NY