Instacart is seeking an Area Tech Lead for Ads Quality to enhance its advertising systems by applying AI/ML models to optimize bidding, retrieval, and auction processes, improve advertiser experience, and balance the needs of users, advertisers, and retailers in its four-sided marketplace.
Requirements
- Experience architecting & building production-grade ML systems, AI and quantitative optimization technologies at a global scale.
- Hands-on expertise in building large-scale AI/ML systems bridging generative AI, predictive modeling, and recommendation engines to solve real-world problems.
- Deep understanding of Ads Quality systems, including bidding, yield optimization, retrieval processes, and auction dynamics.
- Familiar with AWS, Golang, Spark, Clickhouse, Snowflake, TensorFlow.
- Experience with generative AI
- Experience with recommendation engines
- Experience with predictive modeling
Responsibilities
- Develop & design innovative AI-powered systems addressing a wide range of Ads Quality challenges.
- Optimize ads bidding, retrieval and auction processes toward a diverse set of advertiser goals, balancing short- and long-term objectives.
- Identify and build gen AI solutions to revolutionize all aspects of the quality stack.
- Build advanced generative AI and recommendation frameworks revolutionizing advertiser experience and campaign efficacy.
- Construct systems and frameworks to provide intelligent recommendations and assistance to advertisers.
- Define & own the Ads Quality technical strategy and roadmap, balancing between both short-term needs and long-term sustainability.
- Architect and design complex AI / quality components, considering scalability, reliability, performance, and security.
Other
- PhD in AI / ML or related field, or equivalent academic and research experience.
- 15+ years of experience as a software and / or ML engineer.
- Demonstrated ability to lead technical discussions and collaborate effectively at senior to executive levels, driving consensus and clarity.
- Experience mentoring and developing engineering culture and talent.
- Note this is a hands-on IC / TL role at the Director+ level. There are no people management expectations.
