Senior ML Engineer, Recommendation Systems

@ Launch Potato

About Launch Potato

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: Senior ML Engineer, Recommendation Systems

You will build the personalization engine behind our portfolio of brands by designing, deploying, and scaling ML systems serving 100M+ predictions daily. Your work will directly impact engagement, retention, and revenue at scale. This role involves owning the modeling, feature engineering, data pipelines, and experimentation required to make personalization smarter and faster.

Must Have

• 5+ years building and scaling production ML systems with measurable impact
• Experience deploying ML systems serving 100M+ predictions daily
• Expertise in ranking algorithms (collaborative filtering, learning-to-rank, deep learning)
• Proficient in Python and ML frameworks such as TensorFlow or PyTorch
• Skilled with SQL, modern data warehouses, and data lakes
• Familiarity with distributed computing and LLM/AI Agent frameworks
• Proven track record in improving business KPIs via ML-powered personalization
• Experience with A/B testing platforms and experiment logging best practices

Outcomes and Responsibilities

• Build and deploy ML models serving 100M+ predictions per day
• Enhance data processing pipelines with efficiency improvements
• 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
• 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 experimentation infrastructures (MLflow, W&B)
• Impact-driven model design improving revenue, retention, and engagement
• Strong collaboration with cross-functional teams
• Analytical thinking and rigorous test methodology design
• Ownership mentality for continuous post-deployment improvements
• Efficient execution of production-grade systems
• Curiosity and innovation in applying latest ML advances

Compensation and Benefits

The base salary ranges between $130,000 and $220,000 per year, paid semi-monthly, with additional profit-sharing bonus and competitive benefits. Future increases are performance-driven.

Equal Employment Opportunity

Launch Potato is committed to building a diverse and inclusive team. We are an Equal Employment Opportunity company and do not discriminate based on any legally protected characteristic.

Key skills/competency

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