Responsibilities:
- Develop Bird’s Eye View (BEV) perception models for autonomous driving applications
- Develop Vision Language Models for scene understanding and action generation for autonomous driving applications
- Complete ownership of project from ideation, design, developing data requirements, model training, evaluation and deployment
- Research and prototype novel solutions which can help tackle the long-tail of real-world problems in challenging and diverse scenarios (e.g. on highway and local roads, extreme weather conditions, sensor failures, etc)
- Collaborate cross-functionally to ensure model development keeps a real-time focus and operates efficiently in compute-constrained environments
- Rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics
Required Skills:
- MS or PhD in CS, EE, mathematics, statistics or related field
- 3+ years of industry experience working on cutting edge deep learning applications
- Expertise with Python, willingness to do some C++ development as needed.
- Deep understanding of machine learning principles and methodologies
- Experience with implementing deep learning models in at least one deep learning framework (PyTorch, Tensorflow, Jax)
Preferred Skills:
- Relevant industry experience (prior work on self-driving vehicles, autonomy, computer vision and/or robotics projects)
- Past experiences in deep learning projects involving object detection, motion tracking or semantic segmentation, vision-language models, end-to-end learning
- In-depth understanding of cutting-edge deep learning techniques and architectures like transformers, CNNs
- Expertise in machine learning or related field demonstrated by patents or publications in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH)
- Experience with ML Ops and best practices for scalable ML deployment
Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
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