• Core ML/CV: Solid understanding of modern CV techniques (e.g. object detection, tracking, depth estimation, 3D geometry, SLAM).
• Deployment Focus: Strong background in deploying CV models to production; familiarity with ONNX/TensorRT a plus.
• Research Fluency: Comfortable navigating academic literature, benchmarking SOTA models, and integrating them into product pipelines.
• Engineering Rigor: Strong Python skills; experience with PyTorch, Torchvision, OpenCV, and ML tooling (e.g. Lightning, W&B).
• Autonomy: Capable of defining technical direction, leading architectural decisions, and working independently in a fast-moving environment.
• Accessibility and inclusivity
• At Augur, our culture is built on radical candor and mutual trust. To solve the complex, physical-world problems our customers face, we need a team that thinks differently.
• Whether you’re self-taught, have a non-traditional background, or are returning to the workforce, if you have the grit and the experience we’re looking for at Augur, we’d love to hear from you.
• We are committed to fostering a diverse workplace and ensuring an accessible hiring experience - please let us know if you require any accommodations during the interview process to help you do your best work.