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Machine Learning Engineer II

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Uber

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Location:
Brazil , São Paulo

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are dedicated to enhancing the rider experience through cutting-edge machine learning, delivering personalized recommendations and tailored services at scale. Our team develops and deploys state-of-the-art deep learning models that operate in real-time with ultra-low latency, powering experiences that drive high revenue.

Job Responsibility:

  • 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
  • 3 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 (e.g. ads tech, recommender systems)
  • Experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines
  • programming languages such as Python, Spark SQL, Presto, Go, Java

Nice to have:

  • 3+ 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
  • Detail-oriented, ownership and truth-seeking mindset
  • Values and produces analytic evidence and insight, as well as applying them to improve technical solutions
  • Experience working in a cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team’s strategies
  • Master’s degree in Computer Science, Engineering, Mathematics or related field

Additional Information:

Job Posted:
March 04, 2026

Work Type:
Hybrid work
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