Senior Machine Learning Engineer, Recommendatio...

@ Launch Potato

About Launch Potato

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, we connect consumers with leading brands using data-driven content and technology. Headquartered in South Florida with a remote-first team spanning 15 countries, we foster a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

Why Join Us?

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

Your Role: Senior Machine Learning Engineer, Recommendation Systems

You will build the personalization engine powering our portfolio of brands. You will design, deploy, and manage ML systems that deliver real-time recommendations across millions of user journeys and serve over 100M predictions daily. This role directly impacts engagement, retention, and revenue at scale.

Must Have

• 5+ years of building and scaling production ML systems.
• Experience deploying ML systems serving 100M+ predictions daily.
• Expertise in ranking algorithms (collaborative filtering, learning-to-rank, deep learning).
• Proficiency with Python and ML frameworks like TensorFlow or PyTorch.
• Skilled in SQL, modern data warehouses and data lakes.
• Familiarity with distributed computing (Spark, Ray) and LLM/AI agent frameworks.
• Experience with A/B testing platforms and experiment logging.

Your Role and Outcomes

Your mission is to drive business growth by building and optimizing recommendation systems that personalize experiences for millions daily. Responsibilities include:

• Building and deploying ML models for 100M+ daily predictions.
• Enhancing data processing pipelines using tools like Spark, Beam, and Dask.
• Designing ranking algorithms balancing relevance, diversity, and revenue.
• Delivering real-time personalization with latency under 50ms.
• Running rigorous A/B tests to measure business impact.
• Optimizing latency, throughput, and cost in production environments.
• Collaborating with product, engineering, and analytics teams.
• Implementing monitoring systems and maintaining clear ownership of model reliability.

Core Competencies

The ideal candidate will demonstrate technical mastery, strong experimentation skills with platforms like MLflow or W&B, and a keen impact-driven approach. Collaboration, analytical thinking, ownership, execution, and a curious, innovative mindset are essential.

Total Compensation

This role offers a competitive base salary adjusted for the nearest major metro, along with a profit-sharing bonus and comprehensive benefits. Future increases are performance-based.

Diversity & Inclusion

Launch Potato is an Equal Employment Opportunity company committed to diversity, equity, and inclusion, and we welcome applicants irrespective of race, religion, gender, sexual orientation, age, or other protected characteristics.

Key skills/competency

• Machine Learning
• Recommendation Systems
• Ranking Algorithms
• Python
• TensorFlow/PyTorch
• SQL
• Data Warehousing
• Distributed Computing
• A/B Testing
• Personalization