Applied Scientist II, Worldwide Returns & Recommerce - Science
Technology, Data & Digital · Data, AI & Analytics · Machine Learning
I korthet
The Worldwide Returns & Recommerce (WWR&R) team at Amazon is seeking an Applied Scientist II to innovate in machine learning, NLP, and computer vision. You will design, develop, and evaluate models to optimize product value, reduce waste, and improve the customer experience. The role involves using Python, SQL, and deep learning frameworks to build scalable solutions and contribute to Amazon's circular economy initiatives.
Ansvarsområden
- Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models.
- Use SQL to query and analyze data.
- Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models.
- Use machine learning and analytical techniques to create scalable solutions for business problems.
- Research and implement novel machine learning and statistical approaches.
- Mentor interns.
- Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.
Krav
- 2+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of programming in Java, C++, Python or related language experience
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Önskade kvalifikationer
- Experience building machine learning models or developing algorithms for business application
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
Förmåner
- Reasonable work-life balance.
- Scope and support needed for substantial career growth.
- Inclusive culture empowers Amazonians to deliver the best results for our customers.
#Science#Applied Scientist#Machine Learning#NLP#LLM#Computer Vision#Returns#Recommerce#Sustainability#Circular Economy