Description
At Instacart, we're transforming the grocery industry by delivering an essential service that customers rely on to get their groceries and household goods. We invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together.
Overview
The Advertiser Optimization team is the decision-making engine of Instacart's $1B+ ads business. We own the systems responsible for Bidding, Pacing, Budgeting, Targeting and advertiser-facing recommendations - converting stated advertiser goals into real-time auction actions. Our mission is to maximize realized Advertiser Value by deciding when to participate, how much to bid, and how fast to spend, all while carefully balancing User Experience and Platform Revenue.
Responsibilities
- Develop and evaluate models and algorithms for ads bidding, pacing, and budgeting, applying your training in mathematics, statistics, economics, or a related quantitative discipline to solve complex marketplace problems at scale.
- Collaborate closely with senior scientists, engineers and product managers to translate well-defined marketplace questions into mathematical formulations, implement analyses and prototypes, design experiments, and interpret results using large-scale data.
- Contribute to production systems through algorithm implementation, validation, and monitoring, progressively taking ownership of well-scoped projects from initial hypothesis through measurable impact.
- Operate in a fast-paced, constantly evolving environment where the ads marketplace shifts quickly , you'll need to balance rigor with speed, and thrive when priorities change and new challenges emerge.
- Communicate assumptions, findings, and limitations clearly to both technical and cross-functional partners, helping the team make better decisions through transparency and analytical clarity.
Requirements
- PhD in mathematics, statistics, economics, operations research, or a related quantitative discipline, with a strong foundation in at least one of the following areas: optimization, probability, statistical modeling, econometrics, or control theory.
- Proficiency in Python and SQL, with demonstrated ability to translate quantitative concepts into analyses, algorithm implementations, and experiments.
- Strong analytical and communication skills, including the ability to explain assumptions, methodologies, results, and limitations to both technical and cross-functional audiences.
Preferred Qualifications
- 2+ years of software engineering experience, particularly in applying quantitative methods to production systems.
- Familiarity with ads systems, auction theory, or related marketplace optimization problems.
- Experience working with large-scale data pipelines and real-time decision systems.
- Familiarity with machine learning techniques and applying machine learning in production systems.
Benefits
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. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. 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.