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Launch Potato

via Greenhouse

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Senior ML Engineer

Anywhere
full-time
Posted 9/8/2025
Direct Apply
Key Skills:
Machine Learning
Python
TensorFlow
PyTorch
Ranking Algorithms
Collaborative Filtering
Deep Learning
Learning-to-Rank
Distributed Computing
Spark
Ray
A/B Testing
Model Optimization
Personalization
Content Discovery
Business Metrics

Compensation

Salary Range

$130K - 220K a year

Responsibilities

You will build systems that drive millions in revenue through intelligent personalization and optimization. This includes developing and deploying models that understand user preferences and optimize content discovery at scale.

Requirements

The role requires 5+ years of experience in building production ML systems and strong experience with ranking algorithms. Proficiency in Python and ML frameworks like TensorFlow or PyTorch is essential.

Full Description

WHO ARE WE? Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success. WHY JOIN US? At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. YOUR ROLE You will build systems that drive millions in revenue through intelligent personalization and optimization. You'll develop and deploy models that understand user preferences, optimize content discovery, and personalize experiences at scale. This is a hands-on role where you'll see direct impact on business metrics daily. What You'll Do Build and deploy ML models serving 100M+ predictions daily Develop ranking algorithms that balance relevance, diversity, and revenue Implement real-time personalization features with <50ms latency requirements Run A/B tests and analyze model performance against business KPIs Optimize models for production (latency, throughput, cost) Collaborate with product teams to identify new personalization opportunities What We're Looking For 5+ years building production ML systems Strong experience with ranking algorithms (collaborative filtering, deep learning, learning-to-rank) Proficiency in Python and ML frameworks (TensorFlow/PyTorch) Experience with distributed computing (Spark, Ray) Track record of shipping models that improve business metrics BS/MS in Computer Science, Machine Learning, or related field Compensation: $130,000 - $220,000 Total Compensation Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost-of-living adjustments. Want to accelerate your career? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

This job posting was last updated on 9/9/2025

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