Launch Potato
Senior Machine Learning Engineer, Recommendation Systems
Launch Potato, Columbus, Ohio, United States, 43224
Senior Machine Learning Engineer, Recommendation Systems
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 a discovery and conversion company, our mission is to connect consumers with the world’s leading brands through data‑driven content and technology.
Why Join Us At Launch Potato, you’ll 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.
Role Overview You’ll design, deploy, and scale ML systems that power real‑time recommendations across millions of user journeys. This role gives you the chance to work on systems serving 100M+ predictions daily, directly impacting engagement, retention, and revenue at scale.
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 production for latency, throughput, and cost efficiency.
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.
Compensation Base salary: $165,000 – $215,000 per year, paid semi‑monthly. Launch Potato is a performance‑driven company; future increases will be based on performance, not annual cost of living adjustments.
Benefits Competitive benefits package including base salary, profit‑sharing bonus, and industry‑benchmarked health, dental, and vision plans.
EEO Statement Launch Potato is an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on protected characteristic.
Application Apply now to join a high‑performing team that connects consumers with world‑leading brands.
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is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As a discovery and conversion company, our mission is to connect consumers with the world’s leading brands through data‑driven content and technology.
Why Join Us At Launch Potato, you’ll 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.
Role Overview You’ll design, deploy, and scale ML systems that power real‑time recommendations across millions of user journeys. This role gives you the chance to work on systems serving 100M+ predictions daily, directly impacting engagement, retention, and revenue at scale.
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 production for latency, throughput, and cost efficiency.
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.
Compensation Base salary: $165,000 – $215,000 per year, paid semi‑monthly. Launch Potato is a performance‑driven company; future increases will be based on performance, not annual cost of living adjustments.
Benefits Competitive benefits package including base salary, profit‑sharing bonus, and industry‑benchmarked health, dental, and vision plans.
EEO Statement Launch Potato is an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on protected characteristic.
Application Apply now to join a high‑performing team that connects consumers with world‑leading brands.
#J-18808-Ljbffr