below marketmost similar roles pay hereabove market
This role pays more than
83%
of similar roles. Most pay
$202,800–$256,000
— the blue band above.
At the midpoint, this role pays about
$283k
versus about
$229k
for comparable roles.
Based on 240 similar postings.
Employer
About Instacart
Instacart (Maplebear Inc.) is a North American grocery technology company that operates an online marketplace and delivery service connecting customers with personal shoppers who pick and deliver orders from local retailers. It also sells retail e-commerce software and advertising services to grocers and brands.
Instacart currently has
22 open roles
on FindRole.
Listed pay typically runs
$197,500–$208,500
across 22 roles with salary data.
The Senior Manager, Machine Learning Engineering leads a team of engineers and applied research scientists within the Advertiser Optimization team. This role involves guiding team members, nurturing a culture of innovation, and shaping the long-term technical vision for auto-bidding, budget pacing, and user targeting. The manager oversees the delivery of key projects, translates complex algorithms into impactful solutions, and manages the product backlog to ensure engineering efforts align with market needs. Required skills include experience in software development, software engineering management, and digital advertising platforms. The role specifically requires familiarity with data science, optimization, and machine learning techniques to build state-of-the-art systems. This work solves the technical problem of optimizing ad performance, bidding, and pacing to enhance the efficiency of the advertising ecosystem.
Lead a team of engineers and applied research scientists to build state-of-the-art ad optimization systems.
Develop sophisticated algorithms and machine learning models for bidding, pacing, and user targeting.
Shape the long-term technical vision for the auto-bidding and budget pacing product space.
Oversee the delivery of key projects while proactively managing technical risks and operational stability.
Build strategic partnerships with data science and infrastructure teams to integrate software and machine learning solutions.
Translate complex algorithms into impactful products and prioritize the product backlog to manage development timelines.
Mentor team members by building career development plans and providing regular performance feedback.
Establish engineering processes that improve delivery velocity, software quality, and continuous improvement.
What we're looking for
Master's degree in Computer Science, Operations Research, Applied Mathematics, Control Systems, Computational Economics, or a related quantitative field.
PhD in Computer Science, Operations Research, Applied Mathematics, Control Systems, Computational Economics, or a related quantitative field (preferred).
7+ years of experience in software development.
2+ years of experience in software engineering management.
4+ years of experience in software engineering management (preferred).
Experience with digital advertising platforms, real-time bidding, budget pacing, and user targeting solutions.
Proven track record of technical leadership in developing software products.
Familiarity with data science, optimization, and machine learning techniques.
Experience building machine learning models and solutions (preferred).
Machine Learning
Computer Vision
Generative AI
PyTorch
TensorFlow
Deep Learning
Distributed Systems
Video Understanding
Multimodal Learning
System Design