Instacart is seeking a Senior Fraud MLE Tech Lead to shape the vision and technical strategy for leveraging machine learning to detect and prevent abuse across key workflows like identity, payments, and customers, in order to keep Instacart secure.
Requirements
- 6+ 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).
- LLM modeling and application experience is strongly preferred
Responsibilities
- Lead the design, development, operational excellence and visioning of ML modeling 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.
- Mentor and guide L4 and L5 engineers, fostering technical growth and knowledge sharing within the team.
- Solve ambiguous technical and business challenges independently, taking full ownership over outcomes.
Other
- 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.
- This role is remote
