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.
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Senior/Staff Machine Learning Engineer at VC-backed autonomous robotics startup
Are you ready to build the future of autonomous machinery? This VC-backed robotics startup is looking for a Senior/Staff ML Engineer to lead perception efforts, developing Physical AI that navigates rugged, real-world environments. You'll work with cameras, LiDAR, and radar to create human-like awareness for autonomous systems while enjoying a $180k-$250k salary, equity, and the chance to see your code run on heavy equipment across the globe. If you thrive on solving complex computer vision challenges and want to transform vital industries, this is your shot.
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Location
South San Francisco, United States
Compensation
$180k-$250k + Equity
Company
Confidential company
Role overview
About the company
VC-backed autonomous robotics startup
What you will do
- 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.
Who this is a fit for
- 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.
Why this role is remarkable
- 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.
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