Launch Potato
Lead Machine Learning Engineer, Recommendation Systems
Launch Potato, Fort Lauderdale, Florida, us, 33336
Overview
Lead Machine Learning Engineer, Recommendation Systems at Launch Potato. You will design, deploy, and scale ML systems powering real-time recommendations across millions of user journeys and 100M+ predictions daily. Launch Potato is a profitable digital media company reaching over 30M+ monthly visitors, with brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. We are a remote-first company headquartered in South Florida, with a culture focused on speed, ownership, and measurable impact. 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
7+ 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 Your Role
Your mission: Drive business growth by building and optimizing the recommendation systems that personalize experience for millions of users daily. You’ll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful. Compensation
BASE SALARY:
$130,000–$250,000 per year, paid semi-monthly. Total compensation includes a base salary, profit-sharing bonus, and competitive benefits. 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; future increases are based on company and personal performance. Required Qualifications Notes
Must have shipped large-scale ML systems into production powering personalization at scale and be fluent in ranking algorithms. You should be able to turn data into engagement and conversions. EEO and Culture
We are 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 legally protected characteristics. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Advertising Services Referrals increase your chances of interviewing at Launch Potato. Get notified about new Machine Learning Engineer jobs in Fort Lauderdale, FL.
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Lead Machine Learning Engineer, Recommendation Systems at Launch Potato. You will design, deploy, and scale ML systems powering real-time recommendations across millions of user journeys and 100M+ predictions daily. Launch Potato is a profitable digital media company reaching over 30M+ monthly visitors, with brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. We are a remote-first company headquartered in South Florida, with a culture focused on speed, ownership, and measurable impact. 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
7+ 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 Your Role
Your mission: Drive business growth by building and optimizing the recommendation systems that personalize experience for millions of users daily. You’ll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful. Compensation
BASE SALARY:
$130,000–$250,000 per year, paid semi-monthly. Total compensation includes a base salary, profit-sharing bonus, and competitive benefits. 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; future increases are based on company and personal performance. Required Qualifications Notes
Must have shipped large-scale ML systems into production powering personalization at scale and be fluent in ranking algorithms. You should be able to turn data into engagement and conversions. EEO and Culture
We are 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 legally protected characteristics. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Advertising Services Referrals increase your chances of interviewing at Launch Potato. Get notified about new Machine Learning Engineer jobs in Fort Lauderdale, FL.
#J-18808-Ljbffr