Principal Machine Learning Engineer

Launch Potato; New Brunswick; Hybrid; CAD 120,000 - 160,000; Full time

Job summary

A high-growth company based in Canada is seeking a Principal ML Engineer who will be the technical visionary for its personalization and optimization systems. This role requires deep expertise in machine learning architecture and a proven track record in driving innovation. The successful candidate will design and implement complex ML systems, mentor engineers, and influence ML strategies across the organization. Join a remote-first team dedicated to data-driven success and diversity.

Qualifications

• 10+ years building ML systems, with deep personalization expertise.
• Recognized expert in ML systems (publications, patents, or industry impact).
• Ability to influence without authority and drive consensus.

Responsibilities

• Design company-wide personalization architecture and strategy.
• Solve complex technical challenges (cold start, exploration/exploitation, real-time learning).
• Mentor senior engineers and review critical technical decisions.

Job description

Overview

As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

Your Role

As our Principal ML Engineer, you'll be the technical visionary for our personalization and optimization systems. This is an individual contributor role for a deep technical expert who will define our ML architecture, solve our hardest technical challenges, and influence ML strategy across the company.

What You'll Do

• Design company-wide personalization architecture and strategy
• Solve complex technical challenges (cold start, exploration/exploitation, real-time learning)
• Research and implement state-of-the-art ML techniques
• Define standards and patterns used across all ML teams
• Mentor senior engineers and review critical technical decisions
• Represent the company in the external ML community

What We're Looking For

• 10+ years building ML systems, with deep personalization expertise
• Recognized expert in ML systems (publications, patents, or industry impact)
• Experience architecting ML platforms serving billions of predictions
• Track record of 0→1 innovation in personalization systems
• Expertise in multiple approaches (deep learning, bandits, causal ML, graph methods)
• Ability to influence without authority and drive consensus
• Exceptional communication skills for technical and executive audiences

Technical Expertise Required:

• Advanced ML architectures at scale
• Real-time ML systems and edge deployment
• Online learning and adaptive systems
• Privacy-preserving personalization

Equal Opportunity

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.