Senior Machine Learning Engineer II, Growth Modeling

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.

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.

We are hiring a tech lead who will drive major initiatives, identify impactful opportunities, define roadmaps, mentor team members, and develop ML/AI solutions in the incentive space to drive substantial business growth.

We are the ML team within Instacart’s Growth org - a fast-moving, results-driven group building production-ready ML/AI systems to optimize incentive allocation. We tackle unique, high-impact problems, value bottom-up ideas, and partner closely with Product, Marketing, Data Science, and Backend Engineering to drive growth.

• Identifying high-leverage opportunities in incentive optimization, defining the technical roadmap, and driving end-to-end execution of ML/AI solutions to deliver measurable business impact.

• Partnering closely with product managers, marketers, data scientists, and backend engineers to deeply understand business needs and build impactful ML applications. 

• Leading and mentoring the team, raising technical standards, and improving team execution efficiency.

• Proven track record of identifying high-impact opportunities, defining roadmaps, driving major initiatives, partnering with cross-functional stakeholders, and hands-on developing production-ready ML/AI solutions that deliver measurable business results.
• Strong skills in analytics, modeling, programming, and communication
• Strong ownership, results-driven, and continuously innovating to deliver impact.

• Experience in incentive or pricing optimization. 
• Experience in causal modeling.
• Experience in LLM and reinforcement learning.