Senior Machine Learning Engineer Recommendation...
@ Launch Potato

Hybrid
$180,000
Hybrid
Full Time
Posted 7 hours ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXX***** @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 such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

Why Join Us?

At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. You will convert audience attention into action through data, machine learning, and continuous optimization.

Your Role

You will build the personalization engine behind our portfolio of brands by designing, deploying, and scaling ML systems that power real-time recommendations across millions of user journeys. Your focus will be on optimizing recommendation systems impacting engagement, retention, and revenue.

  • 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
  • Implement monitoring systems and rigorous A/B testing processes

Competencies & Outcomes

This role requires technical mastery in ML architecture and deployment, strong experimentation infrastructure skills using tools like MLflow or W&B, and an impact-driven mindset. You will work closely with product, engineering, and analytics teams to achieve high-impact personalization features, own your models post-deployment, and continuously optimize performance.

Key skills/competency

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

How to Get Hired at Launch Potato

🎯 Tips for Getting Hired

  • Customize your resume: Highlight production ML system experience.
  • Research Launch Potato's culture: Understand their digital media impact.
  • Showcase your ranking expertise: Emphasize collaborative filtering and deep learning projects.
  • Prepare for technical interviews: Review ML frameworks and data pipelines.

📝 Interview Preparation Advice

Technical Preparation

Review TensorFlow and PyTorch setups.
Practice distributed computing frameworks like Spark.
Study advanced ranking model implementations.
Refine SQL and data warehouse knowledge.

Behavioral Questions

Describe handling project pressure.
Explain cross-team collaboration examples.
Share experiences taking ownership.
Discuss continuous learning in ML.

Frequently Asked Questions