The opportunity
Instacart’s Enterprise AI organization builds intelligent products and platforms that help transform the grocery industry. Our teams apply machine learning, optimization, and software engineering to solve complex problems for customers, shoppers, retailers, brands, and internal partners.
What you'll do
Design, implement, and deploy machine learning models and services that: support high-impact Enterprise AI products and business initiatives.
Own the full machine learning lifecycle, including problem formulation, data: preparation, feature development, model training, offline evaluation, experimentation, production rollout, and ongoing performance monitoring.
Build reliable, scalable, and maintainable software in Python and related: technologies, applying strong practices for testing, profiling, code review, documentation, and operational readiness.
Partner with product, engineering, data science, and business stakeholders to: define success metrics, prioritize work, and deliver solutions that improve customer and business outcomes.
Develop and operate machine learning services on cloud infrastructure, with: appropriate monitoring, alerting, observability, and safeguards for production performance and reliability.
Use experimentation, statistical analysis, and causal or counterfactual: evaluation techniques to assess model quality and guide launch decisions.
What they're looking for
- Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.
- Experience designing machine learning systems for large-scale, high-throughput, or low-latency applications.
- Familiarity with distributed data processing, streaming systems, feature: stores, or real-time feature computation.
- Experience with model serving, orchestration, and machine learning platforms: such as Kubernetes, Airflow, Spark, or comparable technologies.
- Experience designing simulation, experimentation, or counterfactual: evaluation frameworks for machine learning and decision systems.
- Proficiency in a performance-oriented language such as C++, Java, or Go.
- Experience mentoring engineers, leading cross-functional projects, or setting: technical direction for machine learning initiatives.
- Experience working in e-commerce, marketplaces, logistics, retail,: advertising, or another domain involving complex and evolving business constraints.
