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 such as FinanceBuzz, All About Cookies, and OnlyInYourState. Headquartered in South Florida with a remote-first global team spanning 15 countries, the company connects consumers with leading brands through data-driven content and technology.
Why Join Us?
Accelerate your career by owning outcomes, moving fast, and driving impact within a high-performance culture. As a Senior ML Engineer Recommendation Systems, you will leverage data, machine learning, and continuous optimization to build the personalization engine powering multiple brands.
Your Role
Drive business growth by designing, deploying, and scaling ML models that serve 100M+ predictions daily. You will own the modeling, feature engineering, data pipelines, and experimentation that refine personalized experiences. Key outcomes include:
- Deploy ML models serving 100M+ predictions daily.
- Enhance data processing pipelines using Spark, Beam, and Dask.
- Design ranking algorithms balancing relevance, diversity, and revenue.
- Deliver real-time personalization with latency under 50ms.
- Implement rigorous A/B testing and monitoring for model reliability.
Must Have Technical Expertise
Applicants must have over 5 years of experience building and scaling production ML systems. Requirements include expertise in ranking algorithms, proficiency in Python and ML frameworks (TensorFlow or PyTorch), SQL, modern data warehouses (Snowflake, BigQuery, Redshift), distributed computing (Spark, Ray), and familiarity with LLM/AI Agent frameworks.
Competencies
The ideal candidate demonstrates technical mastery, strong analytical thinking, experimentation infrastructure knowledge, and an ownership mentality. Collaboration with cross-functional teams (engineering, product, analytics) is key.
Total Compensation
Base salary is set according to market rates and includes profit-sharing bonuses and competitive benefits. Future increases depend on company and personal performance.
Key skills/competency
- Machine Learning
- Recommendation Systems
- Ranking Algorithms
- Python
- Data Pipelines
- Production ML
- A/B Testing
- Distributed Computing
- Data Warehousing
- Model Deployment
How to Get Hired at Launch Potato
🎯 Tips for Getting Hired
- Research Launch Potato's culture: Study their mission, team, and achievements online.
- Customize your resume: Emphasize ML deployment and ranking algorithms.
- Highlight real impact: Showcase large-scale ML systems experience.
- Practice technical interviews: Focus on Python, TensorFlow, and Spark challenges.