Senior Machine Learning Engineer Recommendation...
@ Launch Potato

Hybrid
$170,000
Hybrid
Full Time
Posted 9 hours ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXXXX******* @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 brands like FinanceBuzz, All About Cookies, and OnlyInYourState. Headquartered in South Florida with a remote-first team across 15 countries, we drive success with speed, ownership, and measurable impact.

Why Join as a Senior Machine Learning Engineer Recommendation Systems?

You will accelerate your career by owning outcomes, moving fast, and driving impact with a global high-performing team. Work on systems that deliver 100M+ predictions daily and directly influence engagement, retention, and revenue.

Your Role

Build the personalization engine powering our portfolio of brands. Design, deploy, and scale ML systems that offer real-time recommendations by owning modeling, feature engineering, data pipelines, and experimentation.

Key Responsibilities

  • 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.
  • Run statistically rigorous A/B tests to measure business impact.
  • Optimize production for latency, throughput, and cost.
  • Collaborate with product, engineering, and analytics teams.
  • Implement monitoring systems ensuring model reliability.

Competencies Required

  • Technical mastery in production ML systems.
  • Expertise with ranking algorithms and collaborative filtering.
  • Proficiency in Python, TensorFlow or PyTorch, and SQL.
  • Experience with distributed computing frameworks and LLM/AI agents.
  • Solid track record in A/B testing and data-driven decision making.

Compensation and Benefits

Base salary is aligned to market, with additional profit-sharing and competitive benefits. Future compensation is based on company and individual performance.

Key skills/competency

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

How to Get Hired at Launch Potato

🎯 Tips for Getting Hired

  • Customize your resume: Tailor experience to ML systems and personalization.
  • Highlight projects: Showcase large scale ML deployments.
  • Research Launch Potato: Understand the company mission and brands.
  • Prepare for technical interviews: Review ranking algorithms and data pipelines.
  • Focus on impact: Emphasize measurable business results.

📝 Interview Preparation Advice

Technical Preparation

Review ML pipelines and model deployment.
Practice ranking algorithm implementations.
Brush up on TensorFlow and PyTorch.
Study distributed computing libraries like Spark.

Behavioral Questions

Describe teamwork on high-impact projects.
Explain handling tight deadlines effectively.
Discuss ownership of past ML deployments.
Share conflict resolution in team settings.

Frequently Asked Questions