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 spanning over 15 countries, the company is driven by speed, ownership, and measurable impact.
Why Join Us
Accelerate your career by owning outcomes in a high-growth, high-performance environment. At Launch Potato, you will work with data, machine learning, and continuous optimization to convert audience attention into action.
Your Role
As a Senior Machine Learning Engineer Recommendation Systems, you will build and optimize the recommendation engine powering personalized experiences for millions of users daily. You will own the modeling, feature engineering, data pipelines, and experimentation required to drive real-time personalization and business growth.
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 rigorous A/B testing to measure business impact
- Optimize models for latency, throughput, and cost efficiency
- Collaborate with product, engineering, and analytics teams
- Implement monitoring systems and ensure model reliability
Required Skills and Experience
- 5+ years building and scaling production ML systems
- Experience deploying systems serving 100M+ predictions daily
- Expertise in ranking algorithms, collaborative filtering, and deep learning
- Proficiency in Python and ML frameworks (TensorFlow/PyTorch)
- Skilled in SQL and modern data warehouses (Snowflake, BigQuery, Redshift)
- Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks
- Experience with A/B testing platforms and experiment logging
Competencies
- Technical Mastery in ML architecture and deployment
- Setting up rapid testing and retraining infrastructures
- Impact driven design that moves revenue and engagement
- Collaborative approach with cross-functional teams
- Analytical thinking and rigorous test methodologies
- Ownership and continuous improvement post-deployment
Compensation and Benefits
Base salary ranges from $130,000 to $220,000 per year, paid semi-monthly. Compensation includes a profit-sharing bonus and competitive benefits, with future increases based on company and personal performance.
Equal Opportunity
Launch Potato is committed to diversity, equity, and inclusion. We are an Equal Employment Opportunity company and do not discriminate based on any protected characteristic.
Key skills/competency
Machine Learning, Recommendation, Python, TensorFlow, PyTorch, SQL, Spark, Ranking, Personalization, A/B Testing
How to Get Hired at Launch Potato
🎯 Tips for Getting Hired
- Customize Your Resume: Highlight ML systems experience and rankings skills.
- Research Launch Potato: Understand their digital media and personalization approach.
- Emphasize Impact: Quantify business results from ML projects.
- Prepare for Technical Interviews: Review algorithms, Python, and distributed computing.
- Showcase Collaboration: Discuss cross-functional project successes.