Machine Learning Engineer, Instacart

• 2+ years of professional experience in software engineering in ML modeling development and leadership
• Proven ability to design and operate complex ML modeling at scale (both technical scalability and organizational impact)
• Demonstrated leadership: ability to mentor and level up peers, as well as communicate technical trade-offs with stakeholders
• Passion for fraud and risk tech: a strong grasp of security, real-time decisioning, machine learning systems, or similar domains

Desirable

• We’re seeking a machine learning engineer to help shape the vision and technical strategy for leveraging machine learning to detect and prevent abuse across key workflows like identity, payments, and customers
• This role involves driving high-impact projects, influencing cross-functional roadmaps, mentoring engineers, and implementing cutting-edge LLM and ML technologies in a fast-paced, high-growth environment to keep Instacart secure
• Instacart's Fraud & Identity team protects every customer, shopper, and retailer on the platform from abuse, shopper fraud, and payment fraud. We build and operate cutting-edge real-time systems, signals pipelines, and internal tools to stop bad actors while keeping good users moving friction-free
• As Instacart continues to grow, new attack vectors arise every day—join us to stay ahead of the curve and out-innovate fraudsters
• Design & development ML models that power fraud detection and prevention at scale
• Use your expertise to architect robust and scalable solutions for real-time fraud decisioning systems
• Collaborate with cross-functional partners—data scientists, risk managers, and product teams—to define and drive strategies for fraud and identity protection
• Solve ambiguous technical and business challenges independently, taking full ownership over outcomes