Sankhya Gestão De Negócios
Connect with headhunters to apply for similar jobsA technology-driven company in São Paulo is looking for an experienced Machine Learning Engineer to build systems that drive significant revenue through intelligent personalization. In this hands-on role, you'll build and deploy ML models that serve over 100 million predictions daily and implement real-time personalization features. The ideal candidate has 5+ years of experience in production ML systems, strong knowledge of ranking algorithms, and proficiency in Python. This role offers a dynamic work environment focused on measurable impact.
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.
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.