Launch Potato
Overview
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Senior ML Engineer, Recommendation Systems
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Launch Potato . 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. Why join us?
Youll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. We convert audience attention into action through data, machine learning, and continuous optimization. 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, serving 100M+ predictions daily and directly impacting engagement, retention, and revenue at scale. Base salary:
$130,000$220,000 per year, paid semi-monthly. Responsibilities / Your Role
Your mission: Drive business growth by building and optimizing the recommendation systems that personalize experiences for millions of users daily. Youll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful. Outcomes
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
Must Have
Youve shipped large-scale ML systems into production that power personalization at scale. Youre fluent in ranking algorithms and know how to turn data into engagement and conversions. 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
Qualifications / Competencies
Technical Mastery: ML architecture, deployment, and tradeoffs Experimentation Infrastructure: MLflow, Weights & Biases (W&B) Impact-Driven: Models that move revenue, retention, or engagement Collaborative: Works with engineers, PMs, and analysts Analytical Thinking: Analyzes data trends and designs rigorous tests Ownership Mentality: Owns models post-deployment Execution-Oriented: Delivers production-grade systems quickly Curious & Innovative: Applies ML advances to personalization
Compensation & Benefits
Total compensation includes base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company; future increases are based on company and personal performance. Equal Opportunity
We are committed to an inclusive culture and are an Equal Employment Opportunity employer. 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. Role Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Advertising Services
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Join to apply for the
Senior ML Engineer, Recommendation Systems
role at
Launch Potato . 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. Why join us?
Youll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. We convert audience attention into action through data, machine learning, and continuous optimization. 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, serving 100M+ predictions daily and directly impacting engagement, retention, and revenue at scale. Base salary:
$130,000$220,000 per year, paid semi-monthly. Responsibilities / Your Role
Your mission: Drive business growth by building and optimizing the recommendation systems that personalize experiences for millions of users daily. Youll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful. Outcomes
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
Must Have
Youve shipped large-scale ML systems into production that power personalization at scale. Youre fluent in ranking algorithms and know how to turn data into engagement and conversions. 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
Qualifications / Competencies
Technical Mastery: ML architecture, deployment, and tradeoffs Experimentation Infrastructure: MLflow, Weights & Biases (W&B) Impact-Driven: Models that move revenue, retention, or engagement Collaborative: Works with engineers, PMs, and analysts Analytical Thinking: Analyzes data trends and designs rigorous tests Ownership Mentality: Owns models post-deployment Execution-Oriented: Delivers production-grade systems quickly Curious & Innovative: Applies ML advances to personalization
Compensation & Benefits
Total compensation includes base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company; future increases are based on company and personal performance. Equal Opportunity
We are committed to an inclusive culture and are an Equal Employment Opportunity employer. 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. Role Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Advertising Services
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