United States onlyWe're transforming the grocery industry
At Instacart, 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. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. 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 has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have 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. Learn more about our flexible approach to where we work.
Overview
We are looking for a highly motivated Staff Machine Learning Software Engineer to join our team. You'll be instrumental in building our next generation platforms for understanding, observing, and predicting inventory levels in real time – think: platforms that provide the precision and depth of a warehouse but scaled to every local store. In this role you will bring a systems-thinking approach to leading and establishing strategic technical investments and you’ll build a culture of best practices for machine learning. In close collaboration with software engineers, product leads, and data scientists, you will bring relevant advanced technologies to the team while driving new product innovation.
The inventory intelligence team is responsible for understanding exactly what is on store shelves at all times. Inventory estimates drive some of the most important products at instacart from search to logistics. This high performance team is like a startup within the company, driving the end-to-end shelf data supply chain including ingestion of data sources from partners to actively collecting novel inventory observations to model development and product integration.
You can read more about some of the things our team is doing here:
- https://www.instacart.com/company/updates/introducing-new-enterprise-ai-solutions-to-democratize-ai-for-grocers-of-all-sizes/
- https://www.prnewswire.com/news-releases/instacart-and-advantage-solutions-partner-to-give-cpgs-real-time-shelf-visibility-at-scale-302568522.html
About the Job
Responsibilities:
- Own end-to-end outcomes that require thinking across multiple models, data sources, and dynamical systems
- Develop strategic roadmap for modeling inventory dynamics in both high and low observation-density regimes
- Make appropriate technology choices depending on the maturity and nature of each problem
- Collaborate across teams to foster a unified approach to development, facilitating consensus and driving effective outcomes
- Directly contribute and execute on some projects, from inception to deployment and maintenance.
- Supercharge and mentor teammates, introduce relevant advanced technologies, and build a culture of best practices for machine learning
About You
Minimum Qualifications
- 7+ years of production ML experience, with a strong record of successful multi-project initiatives
- Proficiency in Python and either TensorFlow or PyTorch
- A solid foundation in testing, systems observability, and problem-solving
- Exceptional communication skills and the ability to lead and collaborate with a diverse set of functions across teams (SWEs, PMs, Product Engineers, etc.).
Preferred Qualifications
- Experience in building scalable solutions and architectures
- Experience in building net-new projects from inception to second generation
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.
Canada
