Drive features and work streams from problem statement to delivery.
Proactively identify limitations with the existing online mapping system and drive improvements.
Align internal stakeholders with strong presentation and communication skills.
Build consensus and execute on team priorities.
Qualifications
Experience architecting, training, and deploying deep learning models (transformers or diffusion or flow) into real-world environments.
Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization.
Experience in software engineering and machine learning algorithm design.
Prior experience in sensor fusion and/or online mapping is highly desirable.
Fluency in Python.
Experience with C++.
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