Machine Learning Manager – Ads Auto-Bidding -(Remote – Canada)

Job title:

Machine Learning Manager – Ads Auto-Bidding -(Remote – Canada)

Company

Jobgether

Job description

Jobgether has ALL remote jobs globally. We match you to roles where you’re most likely to succeed, and provide feedback on every application to help you learn. No more guesswork, application black holes, or recruiter ghosting in your job search.For one of our clients, we are looking for a Machine Learning Manager – Ads Auto-Bidding, remotely from Canada.As the Machine Learning Manager for the Ads Auto-Bidding team, you will lead a group of engineers to build large-scale, real-time systems that optimize bids and maximize advertiser value. Your team will develop cutting-edge auto-bidding solutions, using machine learning algorithms to automate and improve the bidding process for advertisers. This role offers an opportunity to shape the future of digital advertising through innovation and drive significant business impact while mentoring a talented engineering team.Accountabilities:

• Define and execute the strategic roadmap for the Auto-Bidding team, balancing technical innovation, operational efficiency, and business impact.
• Oversee the design, implementation, and optimization of high-performance auto-bidding algorithms and advertiser-facing products.
• Lead efforts to build scalable and reliable systems, ensuring smooth, real-time bid processing and budget delivery.
• Collaborate with product managers, data scientists, and other engineering teams to align strategies with business objectives and KPIs.
• Manage and mentor a team of machine learning engineers, fostering a culture of collaboration, inclusivity, and continuous improvement.

Requirements

• At least 2 years of engineering management experience, particularly with ML or related technical teams.
• Minimum of 6 years of industry experience with large-scale machine learning, ideally in advertising or marketplace optimization.
• Strong hands-on experience (4+ years) in building and deploying ML systems.
• Expertise in marketplace optimization, experimentation, and metric design.
• Proven ability to work with control systems, reinforcement learning algorithms, and bid/pricing optimization solutions.
• Experience leading teams in a collaborative, high-performance environment.

Benefits

• Comprehensive health benefits.
• Retirement savings plan with matching contributions.
• Workspace benefits for home office setup.
• Personal and professional development funds.
• Family planning support.
• Flexible vacation and Reddit global days off.

#LI-CL1

Expected salary

Location

Canada

Job date

Tue, 04 Mar 2025 23:00:36 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (hiring-jobs.com) you saw this job posting.