Instacart is looking to build next generation platforms for understanding, observing, and predicting inventory levels in real time to provide the precision and depth of a warehouse scaled to every local store. This is to improve key Instacart products like search and logistics.
Requirements
- 7+ years of production ML experience, with a strong record of successful multi-project initiatives
- Proficiency in Python and either TensorFlow or PyTorch
- A solid foundation in testing, systems observability, and problem-solving
- Experience in building scalable solutions and architectures
- Experience in building net-new projects from inception to second generation
Responsibilities
- Own end-to-end outcomes that require thinking across multiple models, data sources, and dynamical systems
- Develop strategic roadmap for modeling inventory dynamics in both high and low observation-density regimes
- Make appropriate technology choices depending on the maturity and nature of each problem
- Collaborate across teams to foster a unified approach to development, facilitating consensus and driving effective outcomes
- Directly contribute and execute on some projects, from inception to deployment and maintenance.
- Supercharge and mentor teammates, introduce relevant advanced technologies, and build a culture of best practices for machine learning
Other
- Exceptional communication skills and the ability to lead and collaborate with a diverse set of functions across teams (SWEs, PMs, Product Engineers, etc.).
- Flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.
- This role is remote.
