Overview In this role you will own end-to-end scientific solutions that optimize product selection under limited warehouse capacity. You'll work on cross-functional teams to translate business needs into scalable ML and optimization models. You will prototype, productionize, and evaluate models that influence assortment across fast-delivery and grocery programs. You'll contribute to a collaborative, research-driven culture and push for measurable improvements in efficiency and customer experience. This is a chance to shape scalable selection systems and engage with a strong scientific community.
Compensation / Benefits- health insurance (medical, dental, vision)
- 401(k) matching
- paid time off
- parantal leave
- RSUs
- sign-on bonuses
Responsibilities- Translate business requirements into scalable scientific solutions
- Design and implement effective models and logic for key problems
- Define and monitor metrics to evaluate model performance
- Prototype and analyze new models and business rules
- Productionize research solutions with production-grade code
- Communicate results to technical and business audiences
- Publish findings in internal/external forums and engage with the scientific community
- Mentor and develop the scientist community across the organization
Key requirements- 3+ years building models for business applications
- PhD, or Master's degree with 4+ years in CS, CE, ML or related field
- Experience with patents or publications at top-tier conferences/journals
- Proficient in Java, C++, Python or related language
- Experience in algorithms and data structures, numerical optimization, data mining, parallel/distributed computing, or high-performance computing
- communication with diverse audiences
- mentoring and collaboration
- structured problem solving
- machine learning
- optimization (MILP)
- reinforcement learning
