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Senior Machine Learning Engineer
Job summary
A digital media company in Mexico seeks a skilled ML Engineer to build and optimize systems driving significant revenue. You will work on models for personalization and content optimization in a remote-first environment. Your expertise in machine learning and algorithms will be crucial for success. Join a diverse team and make a measurable impact on business metrics.
Qualifications
- 5+ years building production machine learning systems.
- Strong experience with ranking algorithms such as collaborative filtering.
- Track record of shipping models that improve business metrics.
Responsibilities
- Build and deploy ML models serving 100M+ predictions daily.
- Develop ranking algorithms that balance relevance, diversity, and revenue.
- Run A/B tests and analyze model performance against business KPIs.
Skills
Education
Tools
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 world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
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 is a hands‑on role where you'll see direct impact on business metrics daily.
- Build and deploy ML models serving 100M+ predictions daily
- Develop ranking algorithms that balance relevance, diversity, and revenue
- Implement real–time personalization features with <50ms latency requirements
- 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
- 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/PyTorch)
- Experience with distributed computing (Spark, Ray)
- Track record of shipping models that improve business metrics
- BS/MS in Computer Science, Machine Learning, or related field
Since day one, we've been 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.