Senior Machine Learning Engineer Recommendation... @ Launch Potato
placeHybrid
attach_money $190,000
businessHybrid
scheduleFull Time
Posted 7 hours ago
Your Application Journey
Interview
Email Hiring Manager
***** @launchpotato.com
Recommended after applying
Job Details
About Launch Potato
Launch Potato is a profitable digital media company reaching over 30M+ monthly visitors through leading brands including FinanceBuzz, All About Cookies, and OnlyInYourState. Headquartered in South Florida with a remote-first team spanning 15 countries, our high-growth culture values speed, ownership, and measurable impact.
Why Join Us?
At Launch Potato, accelerate your career by owning outcomes, moving fast, and driving impact with a global team. Leverage data, machine learning, and continuous optimization to convert audience attention into action.
Your Role as Senior Machine Learning Engineer Recommendation Systems
You will build, deploy, and scale ML systems powering real-time, personalized recommendations across millions of user journeys. Your responsibilities include:
- Designing and deploying ML models serving 100M+ predictions daily
- Enhancing data pipelines with tools like Spark, Beam, and Dask
- Developing ranking algorithms balancing relevance, diversity, and revenue
- Implementing A/B testing frameworks and maintaining model reliability
- Collaborating with cross-functional teams to drive business impact
Key Skills/Competency
- Machine Learning
- Recommendation Systems
- Personalization
- Ranking Algorithms
- Python
- TensorFlow
- PyTorch
- SQL
- Spark
- A/B Testing
How to Get Hired at Launch Potato
🎯 Tips for Getting Hired
- Research Launch Potato's culture: Review mission, brands, and employee testimonials online.
- Optimize your resume: Highlight production ML systems and personalization impact.
- Customize your application: Tailor skills in Python, TensorFlow, and Spark.
- Prepare for interviews: Brush up on ranking algorithms and A/B testing methods.
📝 Interview Preparation Advice
Technical Preparation
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Review large-scale ML system case studies.
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Practice coding in Python and TensorFlow.
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Study ranking and recommendation algorithms.
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Benchmark data pipeline optimization techniques.
Behavioral Questions
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Describe a high-pressure project you led.
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Explain your approach to teamwork and collaboration.
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Discuss handling unexpected production issues.
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Share a moment of learning from feedback.
Frequently Asked Questions
What technical experience does Launch Potato require for the Senior Machine Learning Engineer Recommendation Systems role?
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How does Launch Potato evaluate experience in recommendation algorithms for this role?
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What are the key responsibilities for the Senior Machine Learning Engineer Recommendation Systems at Launch Potato?
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How important is knowledge of ML frameworks for the role at Launch Potato?
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What collaboration skills are expected for the Senior Machine Learning Engineer Recommendation Systems position?
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