Sr. Machine Learning Engineer

Uber; São Paulo; Híbrido; BRL 120.000 - 150.000; Tempo integral

Resumo da oferta

A leading technology company is looking for a seasoned Machine Learning Engineer in São Paulo, Brazil. The role involves developing advanced intent modeling solutions to optimize personalized recommendations and enhance rider engagement through state-of-the-art deep learning models. The ideal candidate should have over 7 years of software engineering experience and strong expertise in machine learning frameworks. This hybrid position welcomes local professionals and those willing to relocate.

Serviços

Flexible working hours

Professional development opportunities

Health and wellness programs

Qualificações

• 7+ years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation.
• Industry experience in ML frameworks and complex data pipelines.

Responsabilidades

• Developing advanced intent modeling and ranking solutions to optimize personalized recommendations.
• 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.

Conhecimentos

Data-driven methodologies

Deep learning

ML methodologies

Problem-solving

Python

Spark SQL

Presto

Go

Java

Formação académica

Bachelor’s degree in Computer Science, Engineering, Mathematics or related field

Ferramentas

TensorFlow

PyTorch

JAX

Descrição da oferta de emprego

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 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.

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 and product selection ranking, 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.

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
• 7+ 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

• 7+ 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

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [e-mail].