19 days ago
Base Salary
$201k - $254k/yr
Responsibilities
- Design, develop, and deploy machine learning models for real-time inventory and shelf-stocking understanding across thousands of retail locations.
- Own the full machine learning lifecycle from problem framing and data exploration through training, evaluation, and production deployment.
- Collaborate with software engineers, computer vision engineers, data scientists, and product leads on new product innovation.
- Build and evolve Digital Twin Platform infrastructure, including retail-partner data ingestion and collection of novel inventory observations.
- Help define the technical direction of the modeling practice and independently drive high-impact technical work in an ambiguous, fast-paced environment.
Requirements
- 5+ years of experience developing and deploying machine learning models in production environments.
- Strong proficiency in Python and experience with TensorFlow, PyTorch, or scikit-learn.
- Experience with large-scale data pipelines and structured and unstructured data at scale.
- Experience with AWS, GCP, or Azure and familiarity with ML platform tooling for model training, versioning, and serving.
- Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, or a related technical field, or equivalent practical experience.
- Preferred experience includes computer vision, inventory forecasting, demand sensing, spatial or temporal modeling, real-time inference, low-latency high-throughput model serving, retail or supply chain domains, and cross-functional project ownership.
Benefits
- Flex First remote work arrangement, allowing employees to work from home, an office, or another preferred location, with regular in-person events.
- Market-competitive location-dependent base pay and company benefits.
- Eligibility for a new hire equity grant and annual refresh grants.
Tech Stack
Categories
About Instacart
Instacart builds a grocery technology platform used by retailers and consumers for online shopping, delivery, and pickup. Its business spans a consumer marketplace, enterprise e-commerce and fulfillment software, and a retail media ads network, generating revenue from fees, subscriptions, software, and advertising. Founded in 2012 and headquartered in San Francisco, the company is publicly traded on Nasdaq and operates across the U.S. and Canada.