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 such as FinanceBuzz, All About Cookies, and OnlyInYourState. Headquartered in South Florida with a remote-first team spanning over 15 countries, Launch Potato drives discovery and conversion through data-driven content and technology.
Why Join Us?
At Launch Potato, you will accelerate your career by owning outcomes, moving fast, and making a measurable impact. As a Senior ML Engineer Recommendation Systems, you will work with a global team to convert audience attention into action using data, machine learning, and continuous optimization.
Your Role
You will build, deploy, and scale ML systems that power real-time recommendations across millions of user journeys. You will design models, develop feature engineering, optimize data pipelines, and conduct rigorous A/B testing to drive personalization that increases engagement, retention, and revenue.
Key Responsibilities
- Build and deploy ML models serving 100M+ predictions per day.
- Enhance data processing pipelines using Spark, Beam, or Dask.
- Design ranking algorithms balancing relevance, diversity, and revenue.
- Deliver real-time personalization with latency under 50ms.
- Run A/B tests and monitor model performance and reliability.
- Collaborate with product, engineering, and analytics teams.
Must Have Qualifications
- 5+ years of experience building production ML systems.
- Experience with ML frameworks like TensorFlow or PyTorch.
- Proficiency in Python, SQL, and modern data warehousing solutions.
- Expertise in ranking algorithms and collaborative filtering.
- Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks.
Competencies
- Technical Mastery in ML deployment and architecture.
- Strong experimentation infrastructure setup skills.
- Impact-driven model design.
- Collaborative teamwork and analytical thinking.
- Ownership mentality with continuous improvement focus.
Compensation & Benefits
Base salary is set according to market rates, along with profit-sharing, bonus, and competitive benefits. Future compensation increases are determined by company and personal performance.
Diversity and Inclusion
Launch Potato is proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion, ensuring a respectful work environment for all candidates.
Key skills/competency
- Machine Learning
- Recommendation Systems
- Python
- TensorFlow
- PyTorch
- SQL
- Data Warehousing
- Distributed Computing
- A/B Testing
- Data Engineering
How to Get Hired at Launch Potato
🎯 Tips for Getting Hired
- Research Launch Potato: Understand their brands and global culture.
- Customize your resume: Highlight ML system production experience.
- Showcase technical projects: Include real-time ML deployments.
- Prepare for algorithm questions: Practice ranking and data optimization.
- Network on LinkedIn: Connect with current employees.