Software Engineer II, Advertiser Optimization @Instacart

Overview

The Advertiser Optimization team is the decision-making engine of Instacart's $1B+ ads business. This team is responsible for Bidding, Pacing, Budgeting, Targeting, and advertiser-facing recommendations, aiming to maximize Advertiser Value while balancing User Experience and Platform Revenue.

Instacart is looking for a Software Engineer II with a strong quantitative background to join their remote team, specifically targeting candidates in Ontario, Alberta, British Columbia, or Nova Scotia. The role involves building and refining algorithmic systems for Instacart's advertising marketplace.

Key Responsibilities

• Develop and evaluate models and algorithms for ads bidding, pacing, and budgeting.
• Collaborate with scientists, engineers, and product managers to address marketplace questions through mathematical formulations and analyses.
• Contribute to production systems by implementing algorithms, validating them, and monitoring their performance.
• Adapt to a fast-paced environment where marketplace dynamics can shift quickly.
• Communicate findings and assumptions to both technical and cross-functional teams.

Requirements

Minimum Qualifications

• PhD in mathematics, statistics, economics, operations research, or a related quantitative discipline.
• Proficiency in Python and SQL.
• Strong analytical and communication skills.

Preferred Qualifications

• 2+ years of software engineering experience.
• Familiarity with ads systems, auction theory, or marketplace optimization.
• Experience with large-scale data pipelines and real-time decision systems.
• Familiarity with machine learning techniques.

Benefits

Instacart offers competitive compensation and benefits, including a base salary range of $145,000 to $153,000 CAD, a new hire equity grant, and annual refresh grants.

Location

This is a remote position, currently hiring only in Ontario, Alberta, British Columbia, and Nova Scotia.

How to Apply

To apply, please visit the company’s career page and submit your application.