TL;DR

Machine Learning Manager (Ads Recommendations & Forecasting): Lead the development and optimization of advertiser-facing ML systems and forecasting tools at %hirify_global% with an accent on auto-bidding, marketplace optimization, and scalable system architecture. Focus on defining technical vision, mentoring engineering teams, and driving cross-functional collaboration to enhance advertiser experience and system reliability.

Location: Remote with presence in Ontario, Canada

Company

%hirify_global% is a large online community platform with over 100,000 active communities and 116 million daily active users, focused on building a first-class ads platform connecting advertisers with passionate communities.

What you will do

Define and execute the long-term technical roadmap for the Auto-Bidding team aligned with business goals
Oversee design, implementation, and maintenance of high-performance recommendation and forecasting ML systems
Recruit, mentor, and retain top engineering talent fostering an inclusive and high-performing culture
Collaborate with product managers and engineering teams to align technical work with product KPIs
Drive best practices in model quality, experimentation, system reliability, and operational excellence

Requirements

Must have significant engineering leadership experience managing ML or technical teams
Extensive experience building and operating large-scale ads or marketplace systems
Proven success in team building, mentoring, and fostering diverse inclusive environments
Hands-on ML proficiency preferred, including real-time serving and optimization pipelines
Familiarity with bidding optimization algorithms, experimentation, and data analysis
Strong system architecture and scalability expertise
Comfortable communicating complex technical concepts across disciplines

Culture & Benefits

Dynamic, supportive work environment with diverse engineering and cross-functional teams
Opportunities for professional growth and continuous learning
Competitive salary and benefits focused on work-life balance and well-being
Flexible remote work arrangements
Comprehensive health benefits, retirement plans, and family support programs
Flexible vacation and global days off

Hiring process

Interviews may be recorded and transcribed with opt-out option
Evaluation includes technical and cultural fit assessments
Personal information handled with strict privacy and deleted after hiring decision