Senior ML Engineer - Real-Time Inventory Platform

EngineersOfAI; Canada; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

Instacart in Canada is seeking 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 and deploy ML models in production, collaborating with software engineers, computer vision experts, data scientists, and product leads.

You will contribute to the core infrastructure of the Digital Twin Platform, ingesting partner data and collecting novel

Responsibilities

• Design, develop, and deploy machine learning models that power real-time understanding of in-store inventory levels and shelf stocking dynamics across thousands of retail locations at scale.
• Own the full ML lifecycle — from problem framing and data exploration through model training, evaluation, and production deployment — with a focus on quality, reliability, and measurable business impact.
• Collaborate cross-functionally with software engineers, computer vision engineers, data scientists, and product leads to bring cutting-edge technologies to the team and drive new product innovation.
• Contribute to building and evolving the core infrastructure of the Digital Twin Platform, including systems that ingest data from retail partners and actively collect novel inventory observations to feed the modeling pipeline.
• Help define the technical direction of an expanding modeling practice on a high-performance team that operates with startup speed — expect ambiguity, changing priorities, and the opportunity to make a significant mark on a problem space that is core to Instacart's business.

Job description

Instacart in Canada is seeking 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 and deploy ML models in production, collaborating with software engineers, computer vision experts, data scientists, and product leads.

You will contribute to the core infrastructure of the Digital Twin Platform, ingesting partner data and collecting novel