Senior Machine Learning Engineer, Digital Twin Platform

Instacart is transforming the grocery industry. The Digital Twin Platform team 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 every local grocery store across North America. This team drives the end-to-end shelf data supply chain: ingesting data from retail partners, collecting novel inventory observations, developing sophisticated models, and integrating outputs into live products at scale.

We are looking for a Senior Machine Learning Engineer to help build the next generation of platforms for understanding, observing, and predicting inventory levels and in-store stocking dynamics in real time. You will develop machine learning models and deploy them into production systems, collaborating with software engineers, computer vision engineers, product leads, and data scientists.

• Design, develop, and deploy machine learning models for real-time understanding of in-store inventory levels and shelf stocking dynamics across thousands of retail locations.
• Own the full ML lifecycle from problem framing through production deployment.
• Collaborate cross-functionally with software engineers, computer vision engineers, data scientists, and product leads.
• Build and evolve core infrastructure of the Digital Twin Platform, including data ingestion and collection systems.
• Help define technical direction of an expanding modeling practice.

• 5+ years of experience developing and deploying ML models in production.
• Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with large-scale data pipelines and structured/unstructured data.
• Experience with cloud infrastructure (AWS, GCP, or Azure) and ML platform tooling.
• Bachelor's degree or higher in CS, ML, Statistics, or related field, or equivalent experience.

• Experience with computer vision, inventory forecasting, demand sensing, or spatial/temporal modeling.
• Familiarity with real-time inference systems and low-latency serving.
• Prior experience in fast-paced cross-functional environments.
• Exposure to retail, supply chain, or e-commerce domains.
• Experience collaborating with computer vision teams.

Instacart provides highly market-competitive compensation and benefits. This role is remote and base pay ranges vary by location. For US candidates, ranges are: CA, NY, CT, NJ: $240,000—$253,500; WA: $230,000—$243,000; OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI: $221,000—$233,000; All other states: $201,000—$212,000. Eligible for new hire equity grant and annual refresh grants.

Apply via the provided link.