Advanced Machine Learning Engineer

1 semana atrás

São Paulo, São Paulo, Brasil beBeeMachineLearning Tempo inteiro R$120.000 - R$180.000
Job Overview

We are seeking a highly skilled Sr Machine Learning Engineer to play a key role in developing and deploying cutting-edge machine learning infrastructure and algorithms that enhance user engagement across various touchpoints within our platform.

This hybrid position is based in São Paulo, Brazil, welcoming local professionals and those open to relocating to São Paulo.

About The Team

The Rider ML team focuses on developing machine learning solutions that recommend the most relevant products to users based on their session intent. This includes optimizing the homepage ranking and product selection ranking, among other key engagement screens.

Our mission is to build advanced ML infrastructure and algorithms that enable real-time, dynamic personalization of user surfaces, ensuring a tailored experience for every session.

About The Role

As a Sr Machine Learning Engineer, you will be responsible for developing and deploying state-of-the-art deep learning models that operate in real-time with ultra-low latency, powering experiences that drive high revenue.

Key Responsibilities
  • Developing advanced intent modeling and ranking solutions to optimize personalized recommendations.
  • Striking the right balance between ranking relevance and discovery (exploration vs. exploitation).
  • Researching and integrating new signals to improve key ranking metrics and user engagement.
  • Building and deploying ML models at scale, ensuring high reliability and quality in online serving.
Requirements
  • Bachelor's degree in Computer Science, Engineering, Mathematics or related field.
  • 5+ years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation.
  • Strong problem-solving skills, with expertise in ML methodologies.
  • Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems.
  • Industry experience in ML frameworks and complex data pipelines.
Preferred Qualifications
  • 5+ years of experience in software engineering specializing in applied ML methods.
  • Experience in designing and crafting scalable, reliable, maintainable and reusable ML solutions using deep-learning techniques and statistical methods.
  • Innate truth-seeker who values and produces analytic evidence and insight, as well as translating them and business goals into technical problems and solutions.
  • 1+ years of experience working in a cross-functional and/or cross-business projects.
  • Passionate about helping junior members grow by inspiring and mentoring engineers.
  • Resilience, determination, ownership mindset.

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