Software Engineer II, Advertiser Optimization
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Job Description
Software Engineer II building bidding, pacing, and budgeting algorithms for Instacart’s grocery advertising marketplace. Applying quantitative modeling, experimentation, and production engineering to optimize advertiser value.
Responsibilities:
- Develop and evaluate models and algorithms for ads bidding, pacing, and budgeting
- Collaborate with scientists, engineers, and product managers to formulate marketplace questions, implement analyses and prototypes, design experiments, and interpret large-scale data
- Contribute to production systems through algorithm implementation, validation, and monitoring
- Take ownership of well-scoped projects from initial hypothesis through measurable impact
- Balance analytical rigor with speed in a fast-changing ads marketplace
- Communicate assumptions, findings, and limitations to technical and cross-functional partners
Requirements:
- PhD in mathematics, statistics, economics, operations research, or a related quantitative discipline
- Strong foundation in optimization, probability, statistical modeling, econometrics, or control theory
- Proficiency in Python and SQL
- Ability to translate quantitative concepts into analyses, algorithm implementations, and experiments
- Strong analytical and communication skills
- 2+ years of software engineering experience, particularly applying quantitative methods to production systems (preferred)
- Familiarity with ads systems, auction theory, or marketplace optimization problems (preferred)
- Experience with large-scale data pipelines and real-time decision systems (preferred)
- Familiarity with machine learning techniques and production machine learning systems (preferred)
Benefits:
- New hire equity grant
- Annual refresh grants
- Flexible choice of work location: home, office, or coffee shop
- Regular in-person events
- Market-competitive compensation and benefits
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