About The Team
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. Key areas of expertise include Computer Vision, ML Optimization, Geospatial AI, Personalization, and Generative AI.
The ML Optimization team within Applied AI is building new experiences to surface earnings opportunities on the Uber platform, particularly for new earners. We are looking for a strong Machine Learning Engineer to join our team in Amsterdam!
About The Role
Our team engages with partners across teams to design, develop, and productionize machine learning systems for highly complex and vaguely defined problems.
What You'll Do
- Collaborate with product teams to analyze key business problems and develop innovative ML solutions.
- Collaborate with data science and engineering teams to integrate and validate ML solutions end-to-end.
- 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.
Preferred Qualifications
- Experience in modern deep learning architectures and probabilistic models.
- Experience in modern generative AI, such as transformer architectures, diffusion models, and prompting.
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