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

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

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Job Details

About Launch Potato

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

Why Join Us?

At Launch Potato, accelerate your career by owning outcomes, moving fast, and driving impact. You will work with a global high-performing team converting audience attention into action using data, machine learning, and continuous optimization.

The Role

This is a Senior Machine Learning Engineer role focused on Recommendation Systems. You will build, deploy, and scale ML models serving 100M+ predictions daily, personalize user experiences, and drive business growth.

Key Responsibilities

  • Design and deploy large-scale ML models
  • Enhance data pipelines using Spark, Beam, and Dask
  • Develop ranking algorithms balancing relevance, diversity, and revenue
  • Ensure real-time personalization with latency under 50ms
  • Run A/B tests and monitor model performance

Must-Have Skills

  • 5+ years in building production ML systems
  • Experience with ranking algorithms and personalization
  • Proficient in Python, TensorFlow/PyTorch
  • Skilled in SQL with modern data warehouses
  • Familiarity with distributed computing and LLM frameworks

Outcomes & Competencies

Own the modeling, feature engineering, data pipelines, and experimentation to improve engagement, retention, and revenue. Collaborate with product, engineering, and analytics to launch high-impact personalization features while maintaining model reliability.

Compensation

Base salary is competitive based on market rates with additional profit-sharing bonuses and benefits.

Equal Employment Opportunity

Launch Potato is committed to diversity, equity, and inclusion, and is an Equal Employment Opportunity employer.

Key skills/competency

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

How to Get Hired at Launch Potato

🎯 Tips for Getting Hired

  • Research Launch Potato's culture: Study their mission, values, and team insights.
  • Customize your resume: Highlight ML system scaling and personalization expertise.
  • Showcase technical projects: Demonstrate hands-on ML deployments.
  • Prepare for interviews: Focus on algorithm design and data pipelines.

📝 Interview Preparation Advice

Technical Preparation

Review ML system architecture and production scaling.
Practice coding in Python and ML frameworks.
Study ranking algorithms like collaborative filtering.
Optimize data pipelines using Spark and Beam.

Behavioral Questions

Describe teamwork in cross-functional settings.
Explain handling project delivery under tight deadlines.
Share experience with ownership in projects.
Discuss adapting to rapid industry changes.

Frequently Asked Questions