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 through brands like FinanceBuzz, All About Cookies, and OnlyInYourState. Headquartered in South Florida with a remote-first team across 15 countries, we drive success with speed, ownership, and measurable impact.
Why Join as a Senior Machine Learning Engineer Recommendation Systems?
You will accelerate your career by owning outcomes, moving fast, and driving impact with a global high-performing team. Work on systems that deliver 100M+ predictions daily and directly influence engagement, retention, and revenue.
Your Role
Build the personalization engine powering our portfolio of brands. Design, deploy, and scale ML systems that offer real-time recommendations by owning modeling, feature engineering, data pipelines, and experimentation.
Key Responsibilities
- 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 production for latency, throughput, and cost.
- Collaborate with product, engineering, and analytics teams.
- Implement monitoring systems ensuring model reliability.
Competencies Required
- Technical mastery in production ML systems.
- Expertise with ranking algorithms and collaborative filtering.
- Proficiency in Python, TensorFlow or PyTorch, and SQL.
- Experience with distributed computing frameworks and LLM/AI agents.
- Solid track record in A/B testing and data-driven decision making.
Compensation and Benefits
Base salary is aligned to market, with additional profit-sharing and competitive benefits. Future compensation is based on company and individual performance.
Key skills/competency
- Machine Learning
- Recommendation Systems
- Data Pipelines
- Ranking Algorithms
- Python
- TensorFlow
- PyTorch
- SQL
- Distributed Computing
- A/B Testing
How to Get Hired at Launch Potato
🎯 Tips for Getting Hired
- Customize your resume: Tailor experience to ML systems and personalization.
- Highlight projects: Showcase large scale ML deployments.
- Research Launch Potato: Understand the company mission and brands.
- Prepare for technical interviews: Review ranking algorithms and data pipelines.
- Focus on impact: Emphasize measurable business results.