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Key job responsibilities
In this role, you will dive deep into our fulfillment network, understand complex processes, and channel your insights to build large-scale machine learning models (LLMs and Transformer-based GNNs) that will be able to understand and predict the state and future of our buildings, network, and orders.You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. You will work with and in a team of applied scientists to solve cutting-edge problems going beyond the published state of the art that will drive transformative change on a truly global scale.A day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- 1+ years of building models for business application experience
- Experience using Unix/Linux
- Experience in professional software development
- Experience building solutions with LLMs
- Expertise in Graph Neural Nets
- Experience with Transformers for Multivariate Timeseries Forecasting
- Experience handling large data sets with Spark (ideally in a production environment)
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