Senior ML Engineer Recommendation Systems
@ Launch Potato

Hybrid
$175,000
Hybrid
Full Time
Posted 23 days ago

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Job Details

Who Are We?

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

Why Join Us?

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

Your Role

As a Senior ML Engineer Recommendation Systems, you will build the personalization engine behind our portfolio of brands. Your mission is to design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys.

Key Responsibilities

  • Develop ML models serving 100M+ predictions per day.
  • Enhance and optimize data processing pipelines using tools like Spark and Beam.
  • Design ranking algorithms balancing relevance, diversity, and revenue.
  • Run rigorous A/B testing to validate impact.
  • Collaborate with product, engineering, and analytics teams.
  • Implement monitoring systems for reliable model performance.

Competencies

  • Technical Mastery in ML architecture and deployment.
  • Strong background in ranking algorithms such as collaborative filtering and deep learning.
  • Experience with Python, TensorFlow or PyTorch.
  • Expertise in SQL, data warehouses, and distributed computing frameworks.
  • Ownership mentality with a focus on measurable business impact.

Compensation & Benefits

Base salary follows market rates with additional profit-sharing bonuses and competitive benefits. Future increases are performance-based.

Key Skills/Competency

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

How to Get Hired at Launch Potato

🎯 Tips for Getting Hired

  • Research Launch Potato's culture: Study their mission and remote-first approach.
  • Customize your resume: Highlight ML systems and personalization experience.
  • Emphasize technical skills: Detail Python, TensorFlow, SQL expertise.
  • Prepare for behavioral interviews: Illustrate collaboration and ownership examples.

📝 Interview Preparation Advice

Technical Preparation

Review ML deployment best practices.
Practice coding in Python and ML frameworks.
Study ranking algorithm case studies.
Simulate real-time data pipeline challenges.

Behavioral Questions

Describe a time you owned a project.
Explain collaboration in cross-functional teams.
How do you handle production challenges?
Discuss overcoming unexpected project setbacks.

Frequently Asked Questions