Who can apply: US-based role. The employer has not said which states are eligible — confirm before applying.
Location as listed by the employer: “United States - Remote; San Francisco”
Apply on Instacart's site ↗
Opens the employer's official application page.
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About this role
Instacart is hiring for a Senior Applied Scientist II, Ads Optimization role. See the official posting for full details.
Requirements
- Graduate degree (Masters or PhD) in operations research, applied mathematics, control systems, computational economics, or a related 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).
- 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.
Summarized from the employer's posting — check the full posting for every requirement.
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