Launch Potato
Senior ML Engineer, Recommendation Systems
Launch Potato, Boulder, Colorado, United States, 80301
Overview
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Senior ML Engineer, Recommendation Systems
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Launch Potato . Headquartered in South Florida with a remote-first team spanning over 15 countries, Launch Potato is a profitable digital media company reaching over 30M+ monthly visitors. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. We’re hiring a Machine Learning Engineer (Recommendation Systems) to build the personalization engine behind our portfolio of brands. You’ll design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys, including systems serving 100M+ predictions daily and impacting engagement, retention, and revenue at scale. BASE SALARY:
$130,000–$220,000 per year, paid semi-monthly.
Responsibilities
Your mission: Drive business growth by building and optimizing the recommendation systems that personalize experiences for millions of users daily. You’ll own modeling, feature engineering, data pipelines, and experimentation to make personalization smarter, faster, and more impactful. 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). 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.
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 to scope features. Analytical Thinking: Designs rigorous test methodologies. Ownership Mentality: Post-deployment model ownership and continuous improvement. Execution-Oriented: Delivers production-grade systems quickly without sacrificing rigor. Curious & Innovative: Stays updated on ML advances and applies them to personalization.
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, with future increases based on company and personal performance.
EEO Statement
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 applicable legally protected characteristics.
Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Advertising Services
Note: This listing includes related roles and locations historically posted by Launch Potato but the primary focus is the Senior ML Engineer, Recommendation Systems role in Boulder, CO or remote options where applicable.
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Join to apply for the
Senior ML Engineer, Recommendation Systems
role at
Launch Potato . Headquartered in South Florida with a remote-first team spanning over 15 countries, Launch Potato is a profitable digital media company reaching over 30M+ monthly visitors. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. We’re hiring a Machine Learning Engineer (Recommendation Systems) to build the personalization engine behind our portfolio of brands. You’ll design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys, including systems serving 100M+ predictions daily and impacting engagement, retention, and revenue at scale. BASE SALARY:
$130,000–$220,000 per year, paid semi-monthly.
Responsibilities
Your mission: Drive business growth by building and optimizing the recommendation systems that personalize experiences for millions of users daily. You’ll own modeling, feature engineering, data pipelines, and experimentation to make personalization smarter, faster, and more impactful. 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). 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.
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 to scope features. Analytical Thinking: Designs rigorous test methodologies. Ownership Mentality: Post-deployment model ownership and continuous improvement. Execution-Oriented: Delivers production-grade systems quickly without sacrificing rigor. Curious & Innovative: Stays updated on ML advances and applies them to personalization.
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, with future increases based on company and personal performance.
EEO Statement
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 applicable legally protected characteristics.
Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Advertising Services
Note: This listing includes related roles and locations historically posted by Launch Potato but the primary focus is the Senior ML Engineer, Recommendation Systems role in Boulder, CO or remote options where applicable.
#J-18808-Ljbffr