Sr Machine Learning Engineer

Uber; São Paulo; Híbrido; BRL 30.000 - 40.000; Tempo integral

Resumo da oferta

Join a leading company as a Senior Machine Learning Engineer in São Paulo, focusing on developing innovative machine learning infrastructure that enhances rider engagement. This role entails optimizing personalized recommendations using cutting-edge technology, ideal for experienced professionals with deep learning expertise and a drive for excellence.

Qualificações

• 5+ years of experience in software engineering with a focus on data-driven methodologies.
• Experience in applying ML, statistics, or optimization techniques to solve large-scale problems.
• Strong communication skills with a passion for mentoring junior members.

Responsabilidades

• Developing advanced intent modeling and ranking solutions.
• Building and deploying ML models at scale with high reliability.
• Research and integrate new signals to improve user engagement.

Conhecimentos

Problem-solving

ML methodologies

Deep learning

Formação académica

Bachelor's degree in Computer Science, Engineering, Mathematics

PhD degree in related field

Ferramentas

Tensorflow

Pytorch

Python

Spark SQL

Java

Go

Descrição da oferta de emprego

Join to apply for the Sr Machine Learning Engineer role at Uber

1 day ago Be among the first 25 applicants

Join to apply for the Sr Machine Learning Engineer role at Uber

Please note: this hybrid position is based in São Paulo, Brazil - welcoming both local professionals and those open to relocating to São Paulo.

About The Team

The Rider ML team is dedicated to developing machine learning infrastructure and ranking solutions that enhance rider engagement across various touchpoints within our platform. This includes optimizing the rider homepage ranking (Project Lumos) and product selection ranking (Project Aura), among other key engagement screens. Each month, millions of users interact with our platform to request on-demand rides, explore vertical offerings like reservations and rentals, take advantage of relevant promotions, order food and groceries, and subscribe to membership services. Our goal is to recommend the most relevant products based on each user's session intent.

Our mission is to build advanced ML infrastructure and algorithms that enable real-time, dynamic personalization of rider surfaces, ensuring a tailored experience for every session. Beyond the homepage and product selection screens, our personalization efforts span multiple engagement touchpoints, including activity feeds, service pages, trip experiences, and other critical moments throughout the rider journey.

About The Role

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.

What You'll Work On

• 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.
  
  

Basic Qualifications

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

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, partnering with Product, Scientists, and cross-org leads to shape the team's strategies
• Passionate about helping junior members grow by inspiring and mentoring engineers
• Resilience, determination, ownership mindset
• PhD degree in Computer Science, Engineering, Mathematics or related field

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Internet Marketplace Platforms

Referrals increase your chances of interviewing at Uber by 2x

Sign in to set job alerts for “Machine Learning Engineer” roles.

Software Engineer (Python) Career Opportunities at Dev.Pro - 01

Software Engineer, Early Career (For Women in Tech Candidates)

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.