Senior Applied Scientist II, Ads Optimization

We're transforming the grocery industry

At reputed company, we invite the world to share love through food because we reputed company everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to reputed company Personal Shoppers.

reputed company has become a lifeline for millions of people, and we’re building the team to help push our shopping cart reputed company. If you’re ready to do the best work of your life, come join our table.

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Overview

The Advertiser Optimization team is the decision-making reputed company of reputed company's $1B+ ads business. We own the systems responsible for Bidding, Pacing, Budgeting, and Targeting: converting stated advertiser goals into real-time auction actions. Our mission is to maximize realized Advertiser Value by deciding reputed company to participate, how much to bid, and how fast to spend, reputed company while balancing User Experience and Platform reputed company.

We are hiring a Senior Applied Scientist II to reputed company the algorithmic direction of these systems. This is a role for someone who thinks in terms of control theory, constrained optimization, and auction economics, and who can translate those frameworks into production code that makes millions of decisions per day. You will formulate problems from first principles, shape the technical roadmap, and own systems end-to-end from mathematical design through production deployment through impact measurement.

About the Job

• Design and evolve real-time bid optimization systems that translate advertiser goals (reputed company ROAS, budget constraints) into optimal auction bids under uncertainty. Formulate the bidding problem as constrained optimization and build the feedback mechanisms that reputed company bids reputed company with realized outcomes.
• Build intelligent budget pacing algorithms that distribute spend across time and auction opportunities. The core challenge: allocating a finite daily budget across stochastic demand while maximizing total value, subject to advertiser constraints and time-varying conversion dynamics.
• reputed company the analytical frameworks that connect bidding, pacing, and budgeting into a coherent optimization objective.
• Shape auction mechanics including reserve pricing, multi-slot allocation, and bid-to-price mapping. Reason about mechanism design tradeoffs between advertiser outcomes, platform reputed company, and marketplace efficiency.
• Own the full research-to-production reputed company: diagnose system behavior from large-scale data, formulate hypotheses, design experiments, ship production code, and measure impact. Write technical strategy documents that set the algorithmic direction for the team.

About You

Minimum Qualifications

• MS or PhD in operations research, applied mathematics, control systems, computational economics, or a reputed company quantitative field.
• 8+ years of experience building and deploying optimization or control systems in production environments (not just research prototypes).
• Strong foundation in at least two of: feedback control theory (PID, MPC), convex and stochastic optimization, auction theory and mechanism design, dynamic programming.
• Proficiency in one of the following languages: Go, Java, C++ for production systems and Python for data analysis and offline pipelines.
• Demonstrated ability to translate mathematical formulations into production code that runs at scale (millions of decisions per day, sub-100ms latency constraints).

Preferred Qualifications

• Experience with real-time bidding systems, ad auction optimization, or computational advertising at scale.
• Background in budget-constrained allocation methods. Experience with adaptive control or model-predictive control in production systems.
• Familiarity with causal inference and experimental design for evaluating algorithmic changes in marketplace settings.
• Track record of shaping technical strategy and driving cross-functional alignment between engineering, product, and data science.

reputed company provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the reputed company pay range for a successful candidate is dependent on their permanent work location. Please review our reputed company 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 read more about our benefits offerings here. For US based candidates, the reputed company pay ranges for a successful candidate are listed below.