Senior Machine Learning Engineer Recommendation...
@ Launch Potato

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

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXX******* @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 such as FinanceBuzz, All About Cookies, and OnlyInYourState. Headquartered in South Florida with a remote-first team spanning 15 countries, we drive impact through data and technology.

Why Join Us

At Launch Potato, speed, ownership, and measurable impact drive success. You will work with a global high-performing team to convert audience attention into actionable data using advanced machine learning systems.

Your Role

As a Senior Machine Learning Engineer Recommendation Systems, you will own end-to-end design, deployment, and scaling of our personalization engine. You will be responsible for building ML models that serve over 100M predictions daily, enhancing data pipelines, designing effective ranking algorithms, and conducting rigorous A/B tests.

Must Have Qualifications

  • 5+ years of experience building and scaling production ML systems
  • Proven expertise in ranking algorithms including collaborative filtering and deep learning
  • Experience deploying ML systems serving 100M+ predictions daily
  • Proficiency in Python, TensorFlow or PyTorch
  • Strong SQL skills with modern data warehouses and distributed computing frameworks
  • Track record of improving business KPIs via ML-powered personalization

Your Outcomes

You will build and deploy high-scale ML models, improve data pipelines, design ranking algorithms balancing relevance, diversity and revenue, deliver sub-50ms latency recommendations and implement robust monitoring systems.

Competencies

  • Technical Mastery of ML architecture and deployment
  • Expertise in experimentation infrastructure
  • Impact-driven execution and data analysis
  • Collaborative approach with cross-functional teams
  • Strong ownership and post-deployment model management

Total Compensation

Base salary is set according to market rates and includes profit-sharing bonus and competitive benefits. Salary range: $130,000–$220,000 per year.

Equal Opportunity

Launch Potato is proud to be an Equal Employment Opportunity company dedicated to diversity, equity, and inclusion.

Key skills/competency

Machine Learning, Recommendation, Python, TensorFlow, PyTorch, SQL, Ranking, Spark, Data Pipelines, A/B Testing

How to Get Hired at Launch Potato

🎯 Tips for Getting Hired

  • Customize your resume: Emphasize large-scale ML system deployment.
  • Highlight technical skills: Focus on Python, TensorFlow, and ranking algorithms.
  • Showcase results: Quantify impact with business metrics.
  • Research Launch Potato: Understand their digital media and personalization strategy.

📝 Interview Preparation Advice

Technical Preparation

Review Python and ML framework documentation.
Practice ranking algorithm coding exercises.
Study distributed computing frameworks basics.
Optimize SQL queries and data pipeline design.

Behavioral Questions

Describe project ownership experience.
Explain collaboration with cross-functional teams.
Discuss handling tight deadlines.
Share experiences managing post-deployment challenges.

Frequently Asked Questions