Senior Staff Machine Learning Engineer, Ads Quality

Details

• Develop & design innovative AI-powered systems addressing a wide range of Ads Quality challenges, such as: Optimize ads pacing/bidding, retrieval and auction processes toward a diverse set of advertiser goals, balancing short- and long-term objectives,
• Balance between user, advertiser, and retailer needs, and turn such solutions into quantifiable, optimizable formulations,
• 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,
• Collaborate with Data Scientists to establish metrics and methodologies for both tracking, optimization, and goaling purposes.
• Define & own the Ads Quality technical strategy and roadmap, balancing between both short-term needs and long-term sustainability.
• Demonstrates ability to architect and design complex AI / quality components, considering scalability, reliability, performance, and security.
• Serves as a technical leader and mentor, guiding and empowering junior ML and software engineers through code and design reviews, knowledge sharing, collaborative problem-solving, improving key engineering processes, and fostering a thriving engineering culture.
• Serve as a technical mentor, empowering engineers at all career levels through effective coaching, collaborative code reviews and knowledge sharing to develop the next set of leaders
• Builds and maintains synergies with other ML engineering teams across Instacart; acts as a bridge representing Ads as an influential voice in company-wide technical forums.
• Contributes to company-level technical initiatives as a thought leader and key driver of Instacart’s engineering vision & goals
• Note this is a hands-on IC / TL role at the Director+ level. There are no people management expectations.
• PhD in AI / ML or related field, or equivalent academic and research experience.
• 10+ years of experience as a software and / or ML engineer.
• Proven track record of architecting & building production-grade ML systems, AI and quantitative optimization technologies at a global scale.
• 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.
• 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 pacing/bidding, yield optimization, retrieval processes, and auction dynamics.
• Familiar with AWS, Golang, Spark, Clickhouse, Snowflake, TensorFlow.