Senior Machine Learning Engineer Recommendation... @ Launch Potato
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About Launch Potato
Launch Potato is a profitable digital media company reaching over 30M+ monthly visitors. Our brands include FinanceBuzz, All About Cookies, and OnlyInYourState. We connect consumers with top brands through data-driven content and technology. Headquartered in South Florida, our remote-first team spans over 15 countries.
Why Join Us?
At Launch Potato, you will accelerate your career by owning outcomes, moving fast, and driving impact with a global team. We convert audience attention into action via data, machine learning, and continuous optimization.
Your Role
As a Senior Machine Learning Engineer Recommendation Systems, you will build, deploy, and scale ML systems that power real-time, personalized recommendations across millions of user journeys. Your work will directly impact engagement, retention, and revenue by serving 100M+ predictions daily.
Key Responsibilities
- Build and deploy ML models serving 100M+ predictions per day
- Enhance and optimize data pipelines (Spark, Beam, Dask)
- Design ranking algorithms balancing relevance, diversity, and revenue
- Deliver real-time personalization with latency under 50ms
- Run statistically rigorous A/B tests to validate business impact
- Collaborate with product, engineering, and analytics teams
- Implement monitoring systems ensuring model reliability
Must Have Experience & Skills
- 5+ years building and scaling production ML systems
- Experience deploying systems serving 100M+ predictions daily
- Expertise in ranking algorithms: collaborative filtering, learning-to-rank, deep learning
- Proficiency in Python with TensorFlow or PyTorch
- Strong SQL skills with modern data warehouses (Snowflake, BigQuery, Redshift)
- Familiarity with distributed computing frameworks (Spark, Ray) and LLM/AI Agent frameworks
- Experience with A/B testing and experiment logging best practices
Competencies
You demonstrate technical mastery, collaborate effectively, and carry an ownership mentality. You are analytical, experiment-oriented, and drive measurable improvements in business KPIs.
Total Compensation
Base salary is set according to market rates, coupled with profit-sharing bonuses and competitive benefits. Future salary increases are performance-driven.
Commitment to Diversity
Launch Potato is an Equal Employment Opportunity company committed to diversity, equity, and inclusion. We welcome applicants from all backgrounds.
Key skills/competency
- Machine Learning
- Recommendation Systems
- Ranking Algorithms
- Python
- TensorFlow
- PyTorch
- SQL
- Distributed Computing
- A/B Testing
- Data Pipelines
How to Get Hired at Launch Potato
🎯 Tips for Getting Hired
- Customize your resume: Highlight large-scale ML deployment skills.
- Study Launch Potato: Research company culture and mission.
- Showcase results: Quantify impact in prior roles.
- Prepare for interviews: Review ML frameworks and algorithms.