Senior Machine Learning Engineer, Digital Twin Platform @Instacart

Overview

The Digital Twin Platform team at Instacart is on a mission to understand exactly what is on store shelves at all times — bringing the precision and depth of a smart warehouse to local grocery stores across North America. The team drives the end-to-end shelf data supply chain, ingesting data from retail partners and developing sophisticated models for inventory estimates that are critical for Instacart's operations.

Key Responsibilities

• Design, develop, and deploy machine learning models for real-time understanding of in-store inventory levels and shelf stocking dynamics across retail locations.
• Own the full ML lifecycle from problem framing and data exploration through model training, evaluation, and production deployment.
• Collaborate cross-functionally with other engineers and product leads to drive new product innovation.
• Contribute to building the core infrastructure of the Digital Twin Platform.
• Help define the technical direction of an expanding modeling practice on a high-performance team.

Requirements

• 5+ years of experience developing and deploying machine learning models in production environments.
• Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with large-scale data pipelines and both structured and unstructured data.
• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and ML platform tooling.
• Bachelor's degree or higher in Computer Science, Machine Learning, Statistics, or a related field, or equivalent practical experience.
• Preferred: Experience in computer vision, inventory forecasting, or related modeling problems.
• Preferred: Familiarity with real-time inference systems in low-latency, high-throughput environments.
• Preferred: Exposure to retail, supply chain, or e-commerce domains.Demonstrated experience driving projects from conception through production with limited oversight.

Benefits

Instacart offers highly market-competitive compensation and benefits. This role is remote, with base pay depending on the candidate's location, as well as eligibility for equity grants.

Location

This role is fully remote within Canada, specifically available to residents of Ontario, Alberta, British Columbia, and Nova Scotia.

How to Apply

Interested candidates should submit their application through the Instacart careers page.

Deadline

No specific deadline mentioned.