Senior/Staff Machine Learning Engineer at VC-backed autonomous robotics startup

You will develop and refine computer vision and machine learning algorithms that provide autonomous machinery with human-like awareness in rugged, unpredictable environments. This hands-on role involves writing production-grade software, optimizing models for embedded hardware, and testing systems on real-world equipment to solve complex perception challenges in the field.

VC-backed autonomous robotics startup

• Develop real-time ML models for object detection, segmentation, and 3D scene understanding in varying weather and terrain conditions.
• Build robust sensor fusion algorithms combining camera, LiDAR, and radar data to handle occlusions and sensor drift.
• Optimize low-latency inference pipelines for resource-constrained embedded hardware using tools like TensorRT and quantization.

• Extensive experience building vision-based perception systems with fluency in Python and frameworks like PyTorch or TensorFlow.
• Proven track record of deploying ML models to production hardware and optimizing for the accuracy-performance tradeoff.
• Strong background in multi-sensor integration and managing large-scale datasets for training, labeling, and performance evaluation.

• Direct impact on transforming vital industries by deploying Physical AI to solve global labor shortages and environmental challenges.
• Join a well-funded team of bold thinkers backed by top-tier industry partners, offering significant ownership of the perception stack.
• Unique opportunity to work across the full stack, from training advanced models to field-testing hardware on operating sites worldwide.