Principal Machine Learning Engineer

Launch Potato; Vancouver; Hybrid; CAD 150,000 - 200,000; Full time

Job summary

A leading tech company is seeking a Principal ML Engineer to define ML architecture and solve complex technical challenges. This role emphasizes personalization systems and requires a recognized expert with over 10 years of experience. Join a remote-first team where you'll own outcomes and drive impact across a high-growth organization.

Qualifications

• 10+ years building ML systems, with deep personalization expertise.
• Recognized expert in ML systems through publications or patents.
• Experience architecting ML platforms for billions of predictions.
• Track record of 0→1 innovation in personalization systems.

Responsibilities

• Design company-wide personalization architecture and strategy.
• Solve complex technical challenges in ML.
• Research and implement state-of-the-art ML techniques.
• Define standards and patterns for ML teams.
• Mentor senior engineers and review technical decisions.

Skills

Machine Learning Systems

Personalization Expertise

Advanced ML Architectures

Real-time ML Systems

Exceptional Communication

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

EEO Statement

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.