As an Applied Scientist specializing in Machine Learning and Operations Research, you will develop algorithms and models that enhance pricing and ETA decisions, impacting the rider experience significantly.
Post-Doctoral AI Researcher (2 year Fixed-Term)
📅 Jul 24
Machine LearningAI TechniquesPythonDeep Learning
📜 Description
- Collaborate with research mentors to formulate research projects or novel applications of machine learning aligned with the team's mission.
- Conduct independent and collaborative research and publish high-quality work at top AI and domain-applied research venues.
- Design and execute large-scale experiments using modern deep learning frameworks, writing high-quality, reusable code.
- Develop models and systems that bridge AI capabilities with real-world application requirements in high-stakes, regulated domains.
- Engage across teams, including with domain experts and applied engineering, to ground research in practical constraints and real-world impact.
- Contribute to the broader research community through publications, open-source releases, and collaboration with academic and industry partners.
🛠️ Requirements
- PhD (or expected completion by start date) in Computer Science, Statistics, Mathematics, or a related STEM field.
- Research experience in machine learning or AI techniques, such as open-source projects or publications.
- Proficiency in Python and experience training deep learning models using frameworks like PyTorch, JAX, or TensorFlow.
- One or more scientific publication submissions in top AI or applied domain research venues.
- Ability to work independently and collaborate effectively across research teams and domain experts.
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