Senior ML Engineer Recommendation Systems @ Launch Potato
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Who Are We?
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 15 countries, we drive success with speed, ownership, and measurable impact.
Why Join Us?
Accelerate your career by owning outcomes and driving impact with a global high-performance team. We convert audience attention into action through data, machine learning, and continuous optimization.
Must Have
We're looking for someone who has shipped large-scale ML systems into production for personalization. Requirements include:
- 5+ years of experience in production ML systems.
- Experience deploying systems with 100M+ predictions daily.
- Expertise in ranking algorithms including collaborative filtering and deep learning.
- Proficiency in Python, TensorFlow or PyTorch.
- Skilled with SQL, Snowflake, BigQuery, or Redshift.
- Familiarity with distributed computing like Spark or Ray and LLM/AI Agent frameworks.
- Experience with A/B testing and experiment logging best practices.
Your Role
As a Senior ML Engineer Recommendation Systems, your mission is to drive business growth by building and optimizing recommendation systems for personalized user experiences across millions of journeys. You will manage modeling, feature engineering, data pipelines, and experimentation to enhance personalization and impact business KPIs.
- Build and deploy models serving 100M+ predictions daily.
- Enhance data pipelines using Spark, Beam, or Dask.
- Design efficient ranking algorithms balancing relevance and revenue.
- Deliver real-time personalization with <50ms latency.
- Run rigorous A/B tests to gauge business impact.
- Optimize latency, throughput, and cost efficiency in production.
- Collaborate closely with product, engineering, and analytics teams.
- Implement monitoring systems and ensure model reliability.
Competencies
Key traits required include technical mastery of ML architectures, rapid experimentation setup, impact-driven model design, collaborative teamwork, analytical thinking, and strong ownership mentality.
Total Compensation
The base salary is set according to market rates based on Launch Potato’s Levels Framework, inclusive of profit-sharing bonuses and competitive benefits. Compensation increases are performance-driven.
How to Get Hired at Launch Potato
🎯 Tips for Getting Hired
- Research Launch Potato's culture: Understand their mission and remote-first approach.
- Customize your resume: Highlight production ML and ranking expertise.
- Showcase relevant projects: Detail large-scale recommendation systems experience.
- Prepare for technical interviews: Focus on ML frameworks and data pipelines.