[Hiring] Software Engineer II, Advertiser Optimization @Instacart

Role Description

We are looking for a Software Engineer II with a strong quantitative background to join our Toronto-based team. In this role, you will apply your expertise in mathematics, statistics, economics, or a related field to help build and refine the algorithmic systems that power how Instacart's advertising marketplace operates. You'll work alongside a talented team of scientists and engineers, contributing to production systems that have real, measurable impact on a scaled ads platform.

• Develop and evaluate models and algorithms for ads bidding, pacing, and budgeting.
• 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 take 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.
• Communicate assumptions, findings, and limitations clearly to both technical and cross-functional partners.

Qualifications

• PhD in mathematics, statistics, economics, operations research, or a related quantitative discipline.
• Strong foundation in at least one of the following areas: optimization, probability, statistical modeling, econometrics, or control theory.
• Proficiency in Python and SQL.
• Strong analytical and communication skills.

Requirements

• 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

• Highly market-competitive compensation and benefits.
• Remote work flexibility with a base pay range of CAD $145,000 — $153,000.
• Eligibility for a new hire equity grant as well as annual refresh grants.