Senior Machine Learning Engineer

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

Job summary

A leading digital media company in Canada is seeking an experienced Machine Learning Engineer to build and deploy models driving millions in revenue. You will develop algorithms and implement real-time personalization features. The ideal candidate has over 5 years' experience with ML systems, strong expertise in ranking algorithms, and proficiency in Python. Join a diverse team committed to innovation and impact.

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 that balance relevance, diversity, and revenue.
• Implement real-time personalization features.

Skills

Building 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 digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase.

The company is headquartered in vibrant downtown Delray Beach, Florida, with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners.

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 make your impact in a profitable, high-growth company? 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.