Staff Machine Learning Engineer – Ad Platform

This is a fully remote position, open to applicants in Canada, +1 more country.

📋 Description

• Act as the technical leader for a team focused on machine learning, guiding direction and enhancing engineering and system design quality.

• Create, develop, and expand machine learning systems for applications in personalization, ranking, search, or advertising.

• Take full ownership of the architecture that encompasses model training, evaluation, deployment, and serving.

• Convert product requirements into scalable technical solutions within uncertain problem areas.

• Lead design reviews and evaluate trade-offs related to latency, reliability, experimentation, and maintainability.

• Collaborate with product, data, and engineering teams to achieve measurable business outcomes.

• Provide mentorship to engineers through practical technical guidance, feedback, and example.

• Utilize LLM tools for prototyping, code iteration, experimentation, architecture visualization, design validation, and relevant LLM-powered features.

⛳️ Requirements

• Over 12 years of professional experience in machine learning or software engineering.

• Proven track record of taking ownership of production ML systems that operate at scale.

• Experience in developing and scaling machine learning systems within personalization, relevance, search, or advertising technology sectors.

• Strong practical knowledge of distributed systems, data pipelines, and machine learning infrastructure.

• Experience deploying machine learning models into production and managing them at a consumer scale.

• Capability to lead complex technical initiatives within a team setting.

• Excellent systems design skills with the ability to communicate trade-offs and implementation choices effectively.

• Background in mentoring engineers and shaping technical standards.

• Ability to function effectively in uncertain environments and drive projects to completion.

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.

• Familiarity with LLMs and their use in personalization, feature generation, or search applications.

• Experience with real-time or streaming machine learning systems.

• Exposure to experimentation frameworks (A/B testing) and metrics for model performance evaluation.

• Experience linking model development with real-time serving systems.

• Valid work authorization for the United States or Canada, as applicable.

🏝️ Benefits

• Equity: full-time employees receive equity in Fetch.

• 401(k) matching at dollar for dollar, up to 4% of eligible pay.

• Comprehensive medical, dental, and vision plans, including pet coverage.

• $10,000 annually for education reimbursement.

• Participation in Employee Resource Groups and the Inclusion Council.

• Flexible paid time off (PTO).

• 9 paid holidays and a week-long break at year-end (holidays may vary for Canada-based roles).

• 14 weeks of fully paid parental leave.

• 6 additional weeks of paid recovery leave for birthing parents.

• Flexible return-to-work schedule.

• One-time $2,000 Calvin Care Cash incentive for employees who welcome new family members.

• Adaptable work environment with hardware/software support for remote work, where applicable.