Senior Machine Learning Engineer Recommendation...

@ Launch Potato

Who Are We?

Launch Potato is a profitable digital media company reaching over 30M+ monthly visitors through brands like FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with leading brands using data-driven content and technology. Headquartered in South Florida with a remote-first team across 15 countries, we foster a high-growth, high-performance culture focused on speed, ownership, and measurable impact.

Why Join Us?

At Launch Potato, you will accelerate your career by owning outcomes, moving fast, and driving impact alongside a global team of high-performers. We convert audience attention into action through data, machine learning, and continuous optimization.

Your Role

As a Senior Machine Learning Engineer Recommendation Systems, you will build and optimize the personalization engine behind our portfolio of brands. You will design, deploy, and scale ML systems serving over 100M predictions daily that directly impact engagement, retention, and revenue.

Must Have

• 5+ years of experience building and scaling production ML systems.
• Proven expertise deploying ML systems with 100M+ daily predictions.
• Strong background in ranking algorithms like collaborative filtering and deep learning.
• Proficiency with Python and ML frameworks (TensorFlow or PyTorch).
• Skilled in SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes.
• Experience with distributed computing (Spark, Ray) and LLM/AI Agent frameworks.
• Track record of improving KPIs through ML-powered personalization.
• Familiarity with A/B testing platforms and experiment logging practices.

Your Outcomes

• Build and deploy ML models serving 100M+ predictions per day.
• Enhance data processing pipelines using Spark, Beam, or Dask.
• Design ranking algorithms balancing relevance, diversity, and revenue.
• Deliver real-time personalization with latency under 50ms.
• Run rigorous A/B tests to measure business impact.
• Optimize production for latency, throughput, and cost efficiency.
• Collaborate with product, engineering, and analytics teams.
• Implement monitoring systems and maintain model reliability.

Competencies

• Technical mastery in ML architecture and deployment.
• Experience setting up rapid testing and retraining systems.
• Focus on models that drive revenue, retention, and engagement.
• Collaborative mindset working across engineering, PM, and analytics teams.
• Strong analytical thinking with rigorous testing methodologies.
• Ownership mentality over deployed models and continuous improvement.
• Swift and precise delivery of production-grade systems.
• Curiosity to embrace and apply the latest ML advances.

Total Compensation

The base salary is set according to market rates and varies based on Launch Potato’s Levels Framework. The package includes base salary, profit-sharing bonus, and competitive benefits with future increases driven by company and personal performance.

Equal Employment Opportunity

Launch Potato is dedicated to diversity, equity, and inclusion. We do not discriminate based on race, religion, gender, sexual orientation, age, or other legally protected characteristics.

Key skills/competency

• Machine Learning
• Recommendation Systems
• Personalization
• Ranking Algorithms
• Data Processing
• Python
• SQL
• Distributed Computing
• A/B Testing
• Model Deployment