Senior Machine Learning Engineer

Launch Potato; Remote; CAD 90,000 - 120,000; Full time

Job summary

A digital media company is seeking a Machine Learning Engineer to build systems that drive millions in revenue through intelligent personalization and optimization. The role involves developing and deploying ML models that handle over 100 million predictions daily. Candidates should have over 5 years of experience in production ML systems, proficiency in Python, and familiarity with ranking algorithms. This role supports a remote-first team culture, making a significant impact on company metrics.

Qualifications

• 5+ years building production ML systems.
• Strong experience with ranking algorithms.
• Proficiency in Python and ML frameworks.

Responsibilities

• Build and deploy ML models serving 100M+ predictions daily.
• Develop ranking algorithms balancing relevance, diversity, and revenue.
• Implement real-time personalization features.

Skills

Production ML systems

Ranking algorithms

Python

ML frameworks (TensorFlow/PyTorch)

Distributed computing (Spark, Ray)

Education

BS/MS in Computer Science, Machine Learning, or related field

Job description

WHO ARE WE?

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

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

You will build systems that drive millions in revenue through intelligent personalization and optimization. You'll develop and deploy models that understand user preferences, optimize content discovery, and personalize experiences at scale. This is a hands‑on role where you'll see direct impact on business metrics daily.

What You’ll Do

• Build and deploy ML models serving 100M+ predictions daily
• Develop ranking algorithms that balance relevance, diversity, and revenue
• Implement real-time personalization features with <50ms latency requirements
• Run A/B tests and analyze model performance against business KPIs
• Optimize models for production (latency, throughput, cost)
• Collaborate with product teams to identify new personalization opportunities

What We’re Looking For

• 5+ years building production ML systems
• Strong experience with ranking algorithms (collaborative filtering, deep learning, learning-to-rank)
• Proficiency in Python and ML frameworks (TensorFlow/PyTorch)
• Experience with distributed computing (Spark, Ray)
• Track record of shipping models that improve business metrics
• BS/MS in Computer Science, Machine Learning, or related field

Want to accelerate your career? Apply now!

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.