Senior Machine Learning Engineer Recommendation...

@ Launch Potato

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. 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 the personalization engine behind our portfolio of brands. You will design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys, serving 100M+ predictions daily. Your responsibilities include modeling, feature engineering, data pipeline development, and running A/B tests to ensure high business impact.

Key Responsibilities & 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 statistically rigorous A/B tests to measure business impact.
• Optimize latency, throughput, and cost efficiency in production systems.
• Partner with product, engineering, and analytics teams for feature launch.
• Implement monitoring systems for continuous model improvement.

Must Have Qualifications

• 5+ years developing and scaling production ML systems.
• Experience deploying ML systems with 100M+ daily predictions.
• Strong expertise in ranking algorithms including collaborative filtering, learning-to-rank, and deep learning.
• Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
• Skilled in SQL and modern data warehouses like Snowflake, BigQuery, or Redshift.
• Familiarity with distributed computing frameworks like Spark and Ray, and LLM/AI Agent frameworks.
• Track record of improving KPIs via ML-powered personalization.
• Experience with A/B testing platforms and experiment logging.

Competencies

• Technical Mastery in ML architecture and deployment.
• Experience in setting up rapid testing and retraining systems.
• Strong impact orientation and collaborative mindset.
• Analytical thinking with robust experimentation design.
• Ownership mentality with a focus on continuous improvements.

Compensation & Benefits

The base salary is set according to market rates and is complemented with profit-sharing bonuses and competitive benefits. Future increases will be based on company and individual performance.

Equal Opportunity

Launch Potato is proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion and do not discriminate based on any legally protected characteristics.

Key skills/competency

Machine Learning, Recommendation, Python, TensorFlow, PyTorch, SQL, Spark, Data Pipelines, A/B Testing, Personalization