Senior ML Engineer Recommendation Systems @ Launch Potato
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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. Headquartered in South Florida, our remote-first team spans over 15 countries and is driven by speed, ownership, and measurable impact.
Why Join Us?
Accelerate your career by owning outcomes and driving impact with a global team of high-performers. At Launch Potato, we convert audience attention into action using data, machine learning, and continuous optimization.
Your Role as Senior ML Engineer Recommendation Systems
Own and optimize the personalization engine for our portfolio brands by building, deploying, and scaling ML systems that deliver 100M+ predictions daily. You will design data pipelines, develop ranking algorithms, and drive real-time personalization to enhance user engagement, retention, and revenue.
Key Responsibilities
- Build and deploy ML models serving 100M+ predictions per day
- Enhance data processing pipelines using tools like Spark, Beam, and Dask
- Design ranking algorithms balancing relevance, diversity, and revenue
- Deliver real-time recommendations with latency under 50ms
- Run statistically rigorous A/B tests and optimize production efficiency
- Partner with product, engineering, and analytics teams on personalization features
- Implement monitoring systems and maintain model reliability
Must Have Qualifications
- 5+ years of experience in building and scaling production ML systems
- Experience deploying systems serving 100M+ predictions daily
- Expertise in ranking algorithms including collaborative filtering and deep learning
- Proficiency in Python and ML frameworks like TensorFlow or PyTorch
- Strong SQL skills and experience with data warehouses (Snowflake, BigQuery, Redshift)
- Familiarity with distributed computing frameworks such as Spark and Ray
- Experience with A/B testing and experiment logging
Competencies
- Technical Mastery
- Experimentation Infrastructure
- Impact-Driven
- Collaborative
- Analytical Thinking
- Ownership Mentality
- Execution-Oriented
- Curious & Innovative
Total Compensation
Base salary is market-adjusted according to our Levels Framework with a package comprising base salary, profit-sharing bonus, and competitive benefits. Future increases are performance-based.
Inclusion & Diversity
Launch Potato is an Equal Employment Opportunity employer committed to diversity, equity, and inclusion. We do not discriminate on any legally protected characteristics.
Key skills/competency
Machine Learning, Recommendation Systems, Python, TensorFlow, PyTorch, SQL, Spark, A/B Testing, Data Pipelines, Ranking Algorithms
How to Get Hired at Launch Potato
🎯 Tips for Getting Hired
- Customize your resume: Emphasize ML system deployment and impact.
- Study ranking algorithms: Showcase collaborative filtering and deep learning experience.
- Prepare project examples: Highlight production-grade ML model success.
- Network with team: Reach out on LinkedIn for insights.