Senior Manager, Machine Learning Engineering

Overview

Overview As the Senior Engineering Manager for the Advertiser Optimization team, you'll lead a team of engineers and applied research scientists to build state-of-the-art systems that optimize ad performance via bidding, pacing, targeting, etc. Building on Instacart’s unique data and market position, these systems create value for advertising partners, improve consumer experience, and directly contribute to Instacart's overall revenue / business success. You'll have the unique opportunity to collaborate with a cross-functional team, turning diverse insights into powerful solutions that elevate advertising effectiveness. Your leadership will steer the development of sophisticated algorithms and machine learning models, driving performance gains across our advertising platform. Together, we'll build an ads ecosystem that not only serves millions but also excels in delivering value to users and advertisers alike. Instacart Ads is at the forefront of transforming the grocery shopping experience by seamlessly integrating advanced advertising solutions into our platform. Our Advertiser Optimization team is a dynamic group of innovators devoted to building cutting-edge optimization solutions that enhance the efficiency and performance of our ads ecosystem. By leveraging advanced algorithms and machine learning models, the team ensures that our advertising partners achieve exceptional results while providing a relevant and engaging experience for our customers. About the Job • Guide and mentor team members, building career development plans and supporting their professional growth. • Nurture a culture geared towards innovation and ongoing enhancement, ensuring the team's efforts are in harmony with the company's vision and engineering excellence. Regularly assess team performance, offering constructive feedback, and advocate for a collaborative and inclusive work environment. • Build strategic partnerships with data science, infrastructure, and other technical teams to drive synergy across the organization, ensuring seamless integration of software engineering and machine learning solutions. • Shape a long-term technical vision in the auto-bidding, budget pacing and user targeting space, which supports the company's business goals. Identify and integrate emerging technologies to boost product features. Manage the technical aspects of key projects, proactively addressing risks. Foster a culture of continuous improvement in software engineering processes. • Oversee the delivery of key projects, proactively addressing risks, and establish team processes that improve delivery velocity, quality, and operational stability with minimal incidents. • Facilitate the translation of complex algorithms into impactful solutions, and prioritize the product backlog to manage development timelines effectively. Collaborate with product managers to ensure engineering efforts are aligned with market needs. About You Minimum Qualifications • Master's degree in Computer Science, Operations Research, Applied Mathematics, Control Systems, Computational Economics, or a related quantitative field. • 7+ years of experience in software development. • 2+ years of experience in software engineering management. • Experience with digital advertising platforms, real-time bidding, budget pacing, and user targeting solutions. • Proven track record of technical leadership in developing software products. • Evidence of implementing innovative technical solutions that drove business success. • Familiarity with data science, optimization, and machine learning techniques. Preferred Qualifications • PhD in Computer Science, Operations Research, Applied Mathematics, Control Systems, Computational Economics, or a related quantitative field. • 4+ years of experience in software engineering management. • Experience building machine learning models and solutions. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please rea d more about our benefits offerings here. For US based candidates, the base pay ranges for a successful candidate are listed below. CA, NY, CT, NJ $275,000 — $290,500 USD WA $264,000 — $278,500 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $253,000 — $267,000 USD All other states $230,000 — $242,500 USD

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