Senior Machine Learning Engineer - Applied AI

$185,000 - $205,500/Yr

Uber - Seattle, WA

Full-time - Mid Level

Remote - Seattle, WA

Transit and Ground Passenger Transportation

About the position

Uber's Applied AI team is at the forefront of leveraging cutting-edge artificial intelligence and machine learning technologies to enhance the Uber experience for millions of users globally. The Applied AI team collaborates with product teams across Uber to deliver innovative AI solutions for core business problems. We work closely with engineering, product, and data science teams to understand core business problems and the potential for AI solutions, then deliver those AI solutions end-to-end. The Applied AI team is building Natural Language and Computer Vision capabilities for multimodal document understanding. We are looking for a strong Machine Learning Engineer to join our team in Seattle!

Responsibilities

• Train, evaluate and deploy Machine Learning models.
• Develop distributed pipelines to analyze and process large datasets.
• Collaborate with cross-functional teams to understand business problems and deliver an end-to-end Machine Learning solution.
• Stay current with the latest advancements in AI/ML and integrate new technologies into the team's work.

Requirements

• PhD or equivalent in Computer Science, Engineering, Mathematics or related field OR 3-years full-time Software Engineering work experience.
• 2-years total technical software engineering experience in one or more of the following areas: Programming language (e.g. C, C++, Java, Python, or Go).
• Training using data structures and algorithms.
• Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning).
• Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib.
• Experience in programming with Python.
• Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn.
• Experience in the development, training, productionization and monitoring of ML solutions at scale.

Nice-to-haves

• 4 years of Software Engineering work experience.
• Experience in modern deep learning architectures and probabilistic models.
• Experience in Natural Language Processing (NLP) and Computer Vision.
• Experience in modern generative AI, such as transformer architectures, diffusion models and prompting.
• Publications or contributions to AI/ML research in top conferences or journals.

Benefits

• Base salary range of USD$185,000 - USD$205,500 per year.
• Eligibility to participate in Uber's bonus program.
• Potential equity award and other types of compensation.
• Various benefits as detailed in the company benefits link.