Launch Potato
Senior Machine Learning Engineer – Launch Potato
Location:
Remote‑first (Headquartered in South Florida, team spans 15+ countries)
Salary:
$130,000 - $220,000 per year (base) plus profit‑sharing bonus and competitive benefits.
Launch Potato is a profitable digital media company that reaches over 30 million 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 world’s leading brands through data‑driven content and technology.
You will build systems that drive millions in revenue through intelligent personalization and optimization. You’ll develop and deploy models that understand user preferences, optimize content discovery, and personalize experiences at scale. This hands‑on role allows you to see direct impact on business metrics daily.
Responsibilities
Build and deploy ML models serving 100M+ predictions daily
Develop ranking algorithms that balance relevance, diversity, and revenue
Implement real‑time personalization features with
Run A/B tests and analyze model performance against business KPIs
Optimize models for production (latency, throughput, cost)
Collaborate with product teams to identify new personalization opportunities
Qualifications
5+ years building production ML systems
Strong experience with ranking algorithms (collaborative filtering, deep learning, learning‑to‑rank)
Proficiency in Python and ML frameworks (TensorFlow or PyTorch)
Experience with distributed computing (Spark, Ray)
Track record of shipping models that improve business metrics
BS/MS in Computer Science, Machine Learning, or a related field
We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, protected veteran status, disability status, or any other legally protected characteristic.
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Remote‑first (Headquartered in South Florida, team spans 15+ countries)
Salary:
$130,000 - $220,000 per year (base) plus profit‑sharing bonus and competitive benefits.
Launch Potato is a profitable digital media company that reaches over 30 million 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 world’s leading brands through data‑driven content and technology.
You will build systems that drive millions in revenue through intelligent personalization and optimization. You’ll develop and deploy models that understand user preferences, optimize content discovery, and personalize experiences at scale. This hands‑on role allows you to see direct impact on business metrics daily.
Responsibilities
Build and deploy ML models serving 100M+ predictions daily
Develop ranking algorithms that balance relevance, diversity, and revenue
Implement real‑time personalization features with
Run A/B tests and analyze model performance against business KPIs
Optimize models for production (latency, throughput, cost)
Collaborate with product teams to identify new personalization opportunities
Qualifications
5+ years building production ML systems
Strong experience with ranking algorithms (collaborative filtering, deep learning, learning‑to‑rank)
Proficiency in Python and ML frameworks (TensorFlow or PyTorch)
Experience with distributed computing (Spark, Ray)
Track record of shipping models that improve business metrics
BS/MS in Computer Science, Machine Learning, or a related field
We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, protected veteran status, disability status, or any other legally protected characteristic.
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