Software Engineer II, Advertiser Optimization

. Develop and evaluate models and algorithms for ads bidding, pacing, and budgeting .

Posted 9/25/2026full-timeRemote • CanadaJuniorMid-Level💰 CA$145,000 - CA$153,000 per yearWebsite

Tools & technologies

PythonSQL

Key responsibilities & impact

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

What you’ll need

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)

Comp & perks