Launch Potato
Senior Machine Learning Engineer, Recommendation Systems
Launch Potato, New York, New York, us, 10261
Overview
Senior Machine Learning Engineer, Recommendation Systems — Build the personalization engine behind a portfolio of brands. You’ll design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys and 100M+ predictions daily.
Responsibilities
Own modeling, feature engineering, data pipelines, and experimentation to improve personalization.
Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale.
Enhance data processing pipelines (Spark, Beam, Dask) for efficiency and reliability.
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 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.
What You’ll Work On
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 below 50ms across key product surfaces.
Run statistically rigorous A/B tests to measure true business impact.
Optimize for latency, throughput, and cost efficiency in production.
Collaborate with product, engineering, and analytics to launch high-impact personalization features.
Implement monitoring systems and maintain clear ownership for model reliability.
Compensation & Benefits BASE SALARY:
$130,000–$220,000 per year, paid semi-monthly.
Total Compensation:
Base salary plus profit-sharing bonus and competitive benefits. Compensation is evaluated based on the Launch Potato Levels Framework and company performance.
Company & Diversity Launch Potato is a profitable digital media company with brands including FinanceBuzz, All About Cookies, and OnlyInYourState. We are headquartered in South Florida with a remote-first team spanning 15+ countries. We are an equal employment opportunity employer and value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, veteran status, disability, or other protected characteristics.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Advertising Services
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Senior Machine Learning Engineer, Recommendation Systems — Build the personalization engine behind a portfolio of brands. You’ll design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys and 100M+ predictions daily.
Responsibilities
Own modeling, feature engineering, data pipelines, and experimentation to improve personalization.
Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale.
Enhance data processing pipelines (Spark, Beam, Dask) for efficiency and reliability.
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 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.
What You’ll Work On
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 below 50ms across key product surfaces.
Run statistically rigorous A/B tests to measure true business impact.
Optimize for latency, throughput, and cost efficiency in production.
Collaborate with product, engineering, and analytics to launch high-impact personalization features.
Implement monitoring systems and maintain clear ownership for model reliability.
Compensation & Benefits BASE SALARY:
$130,000–$220,000 per year, paid semi-monthly.
Total Compensation:
Base salary plus profit-sharing bonus and competitive benefits. Compensation is evaluated based on the Launch Potato Levels Framework and company performance.
Company & Diversity Launch Potato is a profitable digital media company with brands including FinanceBuzz, All About Cookies, and OnlyInYourState. We are headquartered in South Florida with a remote-first team spanning 15+ countries. We are an equal employment opportunity employer and value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, veteran status, disability, or other protected characteristics.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Advertising Services
#J-18808-Ljbffr