Software Engineer II, Advertiser Optimization

This is a fully remote position, open to applicants in Canada.

📋 Description

• Create and assess models and algorithms for advertising bidding, pacing, and budget management.

• Work alongside scientists, engineers, and product managers to define marketplace inquiries, execute analyses and prototypes, design experiments, and interpret extensive datasets.

• Support production systems through the implementation, validation, and monitoring of algorithms.

• Take responsibility for well-defined projects from the initial hypothesis to measurable outcomes.

• Maintain a balance between analytical thoroughness and agility in a rapidly evolving advertising marketplace.

• Convey assumptions, insights, and limitations to both technical and cross-functional teams.

⛳️ Requirements

• PhD in mathematics, statistics, economics, operations research, or a similar quantitative field.

• Solid grounding in optimization, probability, statistical modeling, econometrics, or control theory.

• Proficient in Python and SQL.

• Capability to convert quantitative concepts into analyses, algorithm implementations, and experiments.

• Excellent analytical and communication skills.

• 2+ years of software engineering experience, especially in applying quantitative methods to production systems (preferred).

• Knowledge of advertising systems, auction theory, or marketplace optimization challenges (preferred).

• Experience with large-scale data pipelines and real-time decision-making systems (preferred).

• Acquainted with machine learning techniques and production-level machine learning systems (preferred).

🏝️ Benefits

• Equity grant for new hires.

• Annual refresh grants.

• Flexible work location options: home, office, or coffee shop.

• Regular in-person events.

• Competitive salary and benefits package.