Senior Machine Learning Engineer @ Uber

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Senior Machine Learning Engineer

Uber
2 - 7 years
Bengaluru
5 months ago
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Job Description

ABOUT THE ROLE

Applied AI is a horizontal AI team at Uber collaborating with business units across the company to deliver cutting-edge AI solutions for core business problems. We work closely with engineering, product and data science teams to understand key business problems and the potential for AI solutions, then deliver those AI solutions end-to-end. Key areas of expertise include Generative AI, Computer Vision, and Personalization.

We are looking for a strong Senior ML engineer to be a part of a high-impact team at the intersection of classical machine learning, generative AI, and ML infrastructure. In this role, you ll be responsible for delivering Uber s next wave of intelligent experiences by building ML solutions that power core user and business-facing products.

WHAT YOU LL DO

Solve business-critical problems using a mix of classical ML, deep learning, and generative AI.
Collaborate with product, science, and engineering teams to execute on the technical vision and roadmap for Applied AI initiatives.
Deliver high-quality, production-ready ML systems and infrastructure, from experimentation through deployment and monitoring.
Adopt best practices in ML development lifecycle (e.g., data versioning, model training, evaluation, monitoring, responsible AI).
Deliver enduring value in the form of software and model artifacts.

BASIC QUALIFICATIONS

Master or PhD or equivalent experience in Computer Science, Engineering, Mathematics or a related field and 2 years of Software Engineering work experience, or 5 years Software Engineering work experience.
Experience in programming with a language such as Python, C, C++, Java, or Go.
Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn.
Experience with SQL and database systems such as Hive, Kafka, and Cassandra.
Experience in the development, training, productionization and monitoring of ML solutions at scale.
Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems.
Excellent problem-solving and analytical abilities.
Proven ability to collaborate effectively as a team player.

PREFERRED QUALIFICATIONS

Prior experience working with generative AI (e.g., LLMs, diffusion models) and integrating such technologies into end-user products.
Experience in modern deep learning architectures and probabilistic models.
Machine Learning, Computer Science, Statistics, or a related field with research or applied focus on large-scale ML systems.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

Job Classification

Industry: Urban Transport
Functional Area / Department: Engineering - Software & QA
Role Category: Quality Assurance and Testing
Role: Blockchain Quality Assurance Engineer
Employement Type: Full time

Contact Details:

Company: Uber
Location(s): Bengaluru

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Keyskills: Computer science Computer vision deep learning C++ cassandra Analytical Machine learning Monitoring SQL Python

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Uber

Movement is what we power. Its our lifeblood. It runs through our veins. Its what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across th...

Senior Machine Learning Engineer @ Uber

Home > Quality Assurance and Testing