Description
What We're Looking For:
We are looking for an expert ML researcher/engineer to develop state-of-the art deep learning/machine learning models to improve our perception solutions under challenging and diverse driving scenarios. The ideal candidate has a strong mathematical background, extensive research experience, and a practical, product-focused mindset to produce highly performant safety-critical perception solutions.
What Success Looks Like:
- Research and develop state-of-the-art deep learning / machine learning approaches to efficiently and robustly perceive the world for a self-driving system.
- Own delivery of perception modules that provide solutions to hard on-vehicle autonomy problems.
- Guide the software development from prototype to production, including training and analysis on large-scale data sets, as well as deploying production-ready solutions on a real-time AV platform.
- Capable of leading technical topics, influencing others, building consensus, and making progress on ambiguous technical problems.
- Comfortable deploying models to production with resource constrained environments.
Required Qualifications:
- Extensive experience in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (as evidenced by industry experience or publication record).
- Track record of driving deep learning applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization.
- Excellent cross-team collaboration skills.
- Extensive experience in deep learning frameworks (e.g., PyTorch, TensorFlow).
- Excellent software engineering skills in Python and / or C++.
Preferred Qualifications:
- PhD in machine learning, computer vision, robotics, or related field.
- Experience in deploying perception algorithms and models into real-world environments.
- Prior related industry experience (autonomous vehicles or robotics).
- Strong publication record in top-tier conferences in any area related to machine learning.
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