Senior ML Engineer Recommendation Systems @ Launch Potato
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About Launch Potato
Launch Potato is a profitable digital media company reaching over 30M+ monthly visitors with brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, they connect consumers with world-class brands using data-driven content and technology.
Why Join Us?
At Launch Potato, you accelerate your career by owning outcomes, moving fast, and driving impact alongside a high-performing global team. Here, your work in machine learning directly impacts engagement, retention, and revenue, working with systems that deliver over 100M predictions daily.
Your Role as Senior ML Engineer Recommendation Systems
You will build, deploy, and optimize ML models powering personalized recommendations. Your responsibilities include:
- Designing and deploying ML systems serving 100M+ predictions daily.
- Enhancing and scaling data pipelines using Spark, Beam, or Dask.
- Developing ranking algorithms using collaborative filtering, learning-to-rank, and deep learning.
- Running rigorous A/B tests to measure business impact.
- Collaborating with product, engineering, and analytics teams.
Key Skills/Competency
Machine Learning, Recommendation Systems, Ranking Algorithms, Python, TensorFlow, PyTorch, SQL, Data Pipelines, Distributed Computing, A/B Testing
How to Get Hired at Launch Potato
🎯 Tips for Getting Hired
- Customize your resume: Emphasize experience in ML and personalization.
- Showcase deployment skills: Highlight large-scale production systems.
- Research Launch Potato: Understand their digital media impact.
- Prepare for technical tests: Focus on ranking algorithms and data pipelines.