Senior Machine Learning Engineer Recommendation...
@ Launch Potato

Hybrid
$175,000
Hybrid
Full Time
Posted 7 hours ago

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XXXXXXXX XXXXXXXXXXX XXXXXXX***** @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 top brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. Headquartered in South Florida with a remote-first team across 15 countries, we drive success through 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 of high-performers. Our focus is on converting audience attention into action through data, machine learning, and continuous optimization.

Your Role as Senior Machine Learning Engineer Recommendation Systems

You will build and scale the personalization engine powering our portfolio of brands by designing, deploying, and optimizing ML systems that deliver real-time recommendations with over 100M predictions daily.

  • Build and deploy ML models to personalize user experiences.
  • Enhance data pipelines using Spark, Beam, or Dask.
  • Design and implement ranking algorithms for relevance and revenue.
  • Deliver real-time personalization with low latency.
  • Run rigorous A/B tests and monitor model reliability.

Competencies

  • Technical Mastery in ML architecture and deployment
  • Strong experiment infrastructure (MLflow, W&B)
  • Impact-driven with measurable improvements
  • Collaborative teamwork with engineers, PMs, and analysts
  • Analytical thinking and test design
  • Ownership and continuous improvement
  • Quick execution of production-grade systems
  • Innovative with up-to-date ML advances

Total Compensation

Base salary is set according to market rates and includes profit-sharing bonus and competitive benefits. Increases are performance-driven rather than based on cost of living adjustments.

Key skills/competency

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

How to Get Hired at Launch Potato

🎯 Tips for Getting Hired

  • Research Launch Potato's culture: Study their mission, values, and performance model.
  • Tailor your resume: Highlight ML systems and recommendation expertise.
  • Customize your application: Focus on impact-driven projects and results.
  • Prepare for technical interviews: Practice coding, algorithms, and system design.

📝 Interview Preparation Advice

Technical Preparation

Review ML frameworks like TensorFlow and PyTorch.
Practice building scalable recommendation algorithms.
Brush up on distributed computing concepts.
Optimize data pipeline coding in Python.

Behavioral Questions

Describe a time you solved a complex ML issue.
How do you handle tight deadlines and ownership?
Explain collaboration with cross-functional teams.
Discuss learning from a failed experiment.

Frequently Asked Questions