At a Glance
- Tasks: Design and deploy machine learning models for real-time inventory insights across retail locations.
- Company: Join Instacart, a leader in transforming the grocery industry with innovative tech.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team that operates with startup speed and embraces innovation.
- Why this job: Make a real impact on grocery shopping experiences for millions while tackling complex challenges.
- Qualifications: Experience in machine learning and collaboration with cross-functional teams is essential.
The predicted salary is between 135000 - 165000 $ per year.
We're transforming the grocery industry at Instacart, where we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart is a Flex First team, allowing employees the 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.
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 every local grocery store across North America. Inventory estimates power some of the most critical products at Instacart, from search to logistics, and this team sits at the center of it all.
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. In this role, you will develop machine learning models and deploy them into production systems, working in close collaboration with software engineers, computer vision engineers, product leads, and data scientists.
If you're motivated by technically complex, high-impact problems and want to see your work shape how millions of people experience grocery shopping, this is the role for you.
About the Job
- 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.
About You
Senior Machine Learning Engineer, Digital Twin Platform in Winnipeg employer: EngineersOfAI
At Stripe, we pride ourselves on being an exceptional employer that fosters innovation and collaboration within our ML Infra team. Our vibrant work culture encourages continuous learning and growth, offering employees the chance to tackle meaningful challenges in machine learning infrastructure while enjoying competitive benefits and a supportive environment. Located in a dynamic tech hub, we provide unique opportunities for professional development and the chance to make a significant impact in the world of payment solutions.
