Senior Machine Learning Engineer, Recommendatio...
@ Launch Potato

Hybrid
$160,000
Hybrid
Full Time
Posted 9 hours ago

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

About Launch Potato

Launch Potato is a profitable digital media company reaching over 30M+ monthly visitors through renowned brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. Headquartered in South Florida with a remote-first team in 15+ countries, they drive success with speed, ownership, and measurable impact.

Why Join Us?

At Launch Potato, you accelerate your career by owning outcomes and driving impact with a global high-performance team. They convert audience attention into action through data, machine learning, and continuous optimization.

Your Role as Senior Machine Learning Engineer, Recommendation Systems

You will build the personalization engine for a diverse portfolio of brands. The role involves designing, deploying, and scaling ML models that serve over 100M predictions daily, impacting engagement, retention, and revenue.

  • Build and deploy ML models for real-time personalization.
  • Enhance data processing pipelines with efficiency improvements.
  • Design ranking algorithms balancing relevance and revenue.
  • Run rigorous A/B tests to measure business impact.
  • Collaborate with product, engineering, and analytics teams.

Must Have Skills

  • 5+ years of experience in production ML systems.
  • Proven record of deploying systems serving 100M+ predictions daily.
  • Expertise in ranking algorithms including collaborative filtering and deep learning.
  • Proficiency in Python, TensorFlow or PyTorch, SQL, and data warehouses.
  • Experience with distributed computing frameworks and modern ML tools.

Outcomes & Competencies

In this role, you will drive business growth with measurable impact by building scalable recommendation systems. You are expected to own model deployment, feature engineering, and experimentation while maintaining high performance and low latency.

Your technical mastery, experimentation skills, and collaboration across teams will be key to success.

Key skills/competency

  • Machine Learning
  • Recommendation Systems
  • Personalization
  • Production Deployment
  • Ranking Algorithms
  • Data Pipelines
  • A/B Testing
  • Python
  • Distributed Computing
  • ML Frameworks

How to Get Hired at Launch Potato

🎯 Tips for Getting Hired

  • Research Launch Potato's culture: Study their mission, values, and employee feedback.
  • Tailor your resume: Highlight large-scale ML system experience.
  • Showcase technical skills: Emphasize Python, TensorFlow/PyTorch, and SQL.
  • Prepare case studies: Detail real-time personalization successes.

📝 Interview Preparation Advice

Technical Preparation

Review ranking algorithms fundamentals
Practice Python and ML framework exercises
Study distributed computing basics
Optimize data pipeline implementations

Behavioral Questions

Describe times you showed ownership
Explain teamwork in challenging projects
Share examples of rapid problem-solving
Discuss continuous learning experiences

Frequently Asked Questions