Launch Potato
Senior ML Engineer, Recommendation Systems
Launch Potato, Oklahoma City, Oklahoma, United States, 73116
Join to apply for the
Senior ML Engineer, Recommendation Systems
role at
Launch Potato Overview
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 worlds leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, weve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success. Were hiring a Machine Learning Engineer (Recommendation Systems) to build the personalization engine behind our portfolio of brands. Youll design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys. This role serves 100M+ predictions daily, directly impacting engagement, retention, and revenue at scale. Compensation
BASE SALARY:
$130,000$220,000 per year, paid semi-monthly Total Compensation:
Base salary plus profit-sharing bonus and competitive benefits. Launch Potato is a performance-driven company, with future increases based on company and personal performance. Responsibilities
Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale Enhance data processing pipelines (Spark, Beam, Dask) with efficiency and reliability improvements Design ranking algorithms that balance relevance, diversity, and revenue Deliver real-time personalization with latency
Run statistically rigorous A/B tests to measure true business impact Optimize for latency, throughput, and cost efficiency in production Partner with product, engineering, and analytics to launch high-impact personalization features Implement monitoring systems and maintain clear ownership for model reliability Qualifications
5+ years building and scaling production ML systems with measurable business impact Experience deploying ML systems serving 100M+ predictions daily Strong background in ranking algorithms (collaborative filtering, learning-to-rank, deep learning) Proficiency with Python and ML frameworks (TensorFlow or PyTorch) Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks Track record of improving business KPIs via ML-powered personalization Experience with A/B testing platforms and experiment logging best practices Desired Role Details
Your mission: Drive business growth by building and optimizing the recommendation systems that personalize experience for millions of users daily. Youll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful. Equal Opportunity
Launch Potato is 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, protected veteran status, disability, or other legally protected characteristics. Company Details
Senior Machine Learning Engineer, Recommendation Systems Oklahoma City, OK #J-18808-Ljbffr
Senior ML Engineer, Recommendation Systems
role at
Launch Potato Overview
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 worlds leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, weve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success. Were hiring a Machine Learning Engineer (Recommendation Systems) to build the personalization engine behind our portfolio of brands. Youll design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys. This role serves 100M+ predictions daily, directly impacting engagement, retention, and revenue at scale. Compensation
BASE SALARY:
$130,000$220,000 per year, paid semi-monthly Total Compensation:
Base salary plus profit-sharing bonus and competitive benefits. Launch Potato is a performance-driven company, with future increases based on company and personal performance. Responsibilities
Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale Enhance data processing pipelines (Spark, Beam, Dask) with efficiency and reliability improvements Design ranking algorithms that balance relevance, diversity, and revenue Deliver real-time personalization with latency
Run statistically rigorous A/B tests to measure true business impact Optimize for latency, throughput, and cost efficiency in production Partner with product, engineering, and analytics to launch high-impact personalization features Implement monitoring systems and maintain clear ownership for model reliability Qualifications
5+ years building and scaling production ML systems with measurable business impact Experience deploying ML systems serving 100M+ predictions daily Strong background in ranking algorithms (collaborative filtering, learning-to-rank, deep learning) Proficiency with Python and ML frameworks (TensorFlow or PyTorch) Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks Track record of improving business KPIs via ML-powered personalization Experience with A/B testing platforms and experiment logging best practices Desired Role Details
Your mission: Drive business growth by building and optimizing the recommendation systems that personalize experience for millions of users daily. Youll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful. Equal Opportunity
Launch Potato is 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, protected veteran status, disability, or other legally protected characteristics. Company Details
Senior Machine Learning Engineer, Recommendation Systems Oklahoma City, OK #J-18808-Ljbffr