Senior Data Scientist

Há 2 dias

Porto Alegre, Rio Grande do Sul, Brasil beBeeMachine Tempo inteiro

Build your career as a seasoned Machine Learning Engineer at our innovative company, where you'll create systems that drive revenue through intelligent personalization and optimization.

">About the Role

You will be responsible for building, deploying, and maintaining machine learning models that serve millions of predictions daily. Your key objectives will include developing ranking algorithms that balance relevance, diversity, and revenue, implementing real-time personalization features with latency under 50 ms, running A/B tests and analyzing model performance against business KPIs, optimizing models for production (latency, throughput, cost), and collaborating with product teams to identify new personalization opportunities.

Your Qualifications
  • A minimum of 5 years' experience in building production ML systems.
  • Strong expertise in ranking algorithms (collaborative filtering, deep learning, learning-to-rank).
  • Proficiency in Python and popular ML frameworks (TensorFlow/PyTorch).
  • Experience with distributed computing (Spark, Ray).
  • A proven track record of shipping models that improve business metrics.
  • A Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
What We Offer

We're committed to fostering a diverse, inclusive team and culture. We value diversity, equity, and inclusion and are proud to be an Equal Employment Opportunity employer. As a Senior Machine Learning Engineer, you'll have the opportunity to accelerate your career, work on challenging projects, and collaborate with a global team of high-performers. You'll enjoy a competitive salary and benefits package, as well as opportunities for growth and development.

About Us

We're a leading digital media company that reaches over 30 million monthly visitors through various brands. Our mission is to connect consumers with leading brands through data-driven content and technology. We're headquartered in South Florida but have a remote-first team spanning over 15 countries.

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