Machine Learning Engineer, Perception R&D
Pickle Robot Company(1 month ago)
About this role
A Machine Learning Engineer at Pickle Robot Company works at the intersection of perception and MLOps to advance warehouse automation. The role centers on developing scene understanding models and the supporting infrastructure to deploy, monitor, and analyze these models on robots in real-world environments. The engineer helps transform large-scale fleet data into insights that drive continuous product and performance improvements. This position contributes directly to making warehouse unloading safer, faster, and more efficient through AI-powered robotics.
Required Skills
- Computer Vision
- Machine Learning
- MLOps
- Data Infrastructure
- Python
- PyTorch
- Model Optimization
- Edge Deployment
- TensorRT
- ONNX Runtime
+18 more
About Pickle Robot Company
picklerobot.comPickle Robots builds autonomous robotic systems that unload trucks and trailers for warehouses and distribution centers. Their solutions combine perception, machine learning, and robotic manipulation to handle diverse packages and pallet configurations so machines do the heavy lifting while people focus on problem-solving. Pickle offers integrated hardware and software that connects with warehouse systems to raise throughput, reduce injuries, and lower labor costs. Their customers include logistics operators, retailers, and 3PLs facing labor constraints and seasonal spikes.
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