Overview Be part of Amazon's Worldwide Returns & ReCommerce team, shaping how returns are processed and repurposed to support zero waste and zero defects. You will design and operationalize ML/NLU/LLM models that streamline reverse-logistics, scale across systems, and deliver delightful customer experiences. You'll collaborate with cross-functional partners to solve complex problems at large scale, driving environmental and business impact. This role offers the chance to work on cutting-edge AI while advancing Amazon's circular economy goals.
Compensation / Benefits- Medical, dental, and vision coverage
- PTO
- 401(k) plan
- Parental leave options
- Sign-on payments and RSUs
- Health insurance options and caregiving support
Responsibilities- Design, develop, and evaluate innovative NLU/LLM models
- Query and analyze data with SQL
- Train/test/deploy ML models using Python, Jupyter, and PyTorch
- Apply ML and analytics to create scalable business solutions
- Research and implement novel ML/statistical approaches
- Mentor interns
- Collaborate with data and software engineering teams to deploy models in production at large scale
Key requirements- 3+ years building models for business applications
- Master's in CS, CE, ML or related field (PhD also acceptable)
- Experience programming in Java, C++, Python or related language
- Experience building ML models or developing algorithms for business applications
- Collaboration with cross-functional teams
- Mentorship and coaching
- Problem-solving with data-driven mindset
- NLU/LLM/GenAI model design
- SQL querying and data analysis
- Python, Jupyter, PyTorch for ML workflows
