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 through brands like FinanceBuzz, All About Cookies, and OnlyInYourState. Headquartered in South Florida with a remote-first team spanning over 15 countries, the company fosters a culture of speed, ownership, and measurable impact.
Why Join Us?
At Launch Potato, you accelerate your career by owning outcomes and driving impact with a global team of high-performers. You will convert audience attention into actionable insights through data, machine learning, and continuous optimization.
Your Role as a Senior ML Engineer Recommendation Systems
You will build the personalization engine powering recommendation systems across a portfolio of brands. Your role involves designing, deploying, and scaling ML models that serve over 100M+ predictions daily. Your work directly impacts engagement, retention, and revenue.
Key Responsibilities
- Develop, deploy, and scale ML models for real-time recommendations.
- Enhance data pipelines using Spark, Beam, or Dask.
- Design ranking algorithms balancing relevance, diversity, and revenue.
- Deliver personalized experiences with latency under 50ms.
- Implement and monitor A/B tests to assess business impact.
Must Have Qualifications
- 5+ years building and scaling production ML systems with measurable business impact.
- Experience deploying ML systems serving 100M+ predictions daily.
- Expertise in ranking algorithms including collaborative filtering, learning-to-rank, and deep learning.
- Strong proficiency in Python and ML frameworks like TensorFlow or PyTorch.
- Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) and data lakes.
- Familiarity with distributed computing frameworks (Spark, Ray) and LLM/AI Agent frameworks.
- Experience with A/B testing platforms and experiment logging best practices.
Competencies
Technical Mastery, Experimentation, Impact-Driven Approach, Collaboration, Analytical Thinking, Ownership, Execution Orientation, and Curiosity.
Key skills/competency
- ML systems
- Recommendation
- 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: Understand their digital media mission and impact.
- Tailor your resume: Highlight scalable ML systems experience.
- Showcase technical expertise: Emphasize ranking algorithms and Python skills.
- Practice interview questions: Prepare examples of production ML deployments.