Senior ML Engineer Recommendation Systems
@ Launch Potato

Hybrid
$170,000
Hybrid
Full Time
Posted 23 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXX****** @launchpotato.com
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Job Details

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 build a high-growth, high-performance culture fueled by speed, ownership, and measurable impact.

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 using data, machine learning, and continuous optimization. In the role of Senior ML Engineer Recommendation Systems, you will build the personalization engine behind our portfolio of brands, deploying and scaling ML systems that power real-time recommendations across millions of user journeys.

Your Role

Your mission is to drive business growth by creating and optimizing recommendation systems that personalize experiences for millions daily. Responsibilities include modeling, feature engineering, data pipelines, and rigorous experimentation.

Outcomes

  • Build and deploy ML models serving 100M+ predictions per day.
  • Enhance data processing pipelines with efficiency improvements.
  • Design ranking algorithms balancing relevance, diversity, and revenue.
  • Deliver real-time personalization with latency under 50ms.
  • Conduct rigorous A/B tests to measure business impact.
  • Optimize production for latency, throughput, and cost efficiency.
  • Collaborate with product, engineering, and analytics teams.
  • Implement monitoring systems and maintain model reliability.

Competencies

You must exhibit technical mastery in ML architecture, rapid experimentation, impact-driven design, collaborative work, analytical thinking, strong ownership, and innovative execution.

Total Compensation

Base salary according to market rates complemented by profit-sharing, bonuses, and competitive benefits. Future increases depend on company and personal performance.

Equal Opportunity

Launch Potato is proud to be an Equal Employment Opportunity company, committed to diversity, equity, and inclusion.

Key skills/competency

  • Machine Learning
  • Recommendation Systems
  • Ranking Algorithms
  • Python
  • TensorFlow
  • PyTorch
  • SQL
  • Distributed Computing
  • A/B Testing
  • Data Engineering

How to Get Hired at Launch Potato

🎯 Tips for Getting Hired

  • Customize Resume: Highlight large-scale ML deployment achievements.
  • Research Launch Potato: Understand their digital media and data-driven culture.
  • Showcase Technical Skills: Emphasize experience with ranking algorithms and frameworks.
  • Prepare Examples: Provide cases of production system improvements.
  • Practice Interviews: Focus on ML system design and A/B testing methodology.

📝 Interview Preparation Advice

Technical Preparation

Review production ML system case studies.
Practice ranking algorithm design challenges.
Brush up on TensorFlow and PyTorch frameworks.
Study distributed computing and data pipeline optimization.

Behavioral Questions

Describe a time you owned a project.
Explain collaborative problem solving in tough scenarios.
Discuss handling pressure with tight deadlines.
Share an experience of improving a live system.

Frequently Asked Questions