Deep Learning Engineer - Compound Eye - Redwood City
Compound Eye enables cars and other robots to understand their surroundings in 3D and in real-time using only passive sensors like cameras. We return far more information about the environment than active sensors like radar and lidar for a fraction of the cost. Our mission is to bring superhuman senses to existing vehicles and to enable mass production of fully autonomous systems.
We’re looking for a few great engineers and scientists.
In case you'd like to know:
We have no non-technical managers. We already have revenue and we recently raised a large Series A round led by a tier one VC. We're building out a new office in Redwood City CA, not far from the Caltrain station. We do not have set working hours and are open to you working remotely one or two days a week.
Responsibilities:
- Lead our research into 3D scene understanding.
- Oversee acquisition and labeling of a unique proprietary RGBD dataset.
- Design and implement state-of-the-art networks for semantic segmentation, object detection, depth estimation and more.
- Help to recruit and potentially lead a team of similarly-qualified engineers.
Required:
- Strong foundation in machine learning, statistics, and linear algebra.
- MS or PhD in Computer Science or equivalent.
- 2+ years of academic or professional experience in deep learning as applied to image or video analysis.
- Fluent in Python, familiar with C++.
- Deep knowledge of TensorFlow or PyTorch
Nice to have but definitely not required:
- 5+ years of professional software development experience with strong engineering practices.
- Experience with self-supervised learning techniques.
- Experience in optimizing NNs for constrained platforms (mobile or embedded).
