Machine Learning Engineer position focusing on scene understanding and deployment infrastructure at Pickle Robot Company. Join the team revolutionizing warehouse automation using AI and robotics.
Responsibilities
Build Performance Analysis Systems: design systems that automatically analyze robot telemetry and video logs to detect anomalies, quantify perception failures, and provide insights.
Scale the Data Engine: build automated pipelines to mine interesting events from fleet data and drive continuous improvement of our model suite.
Develop Scene Understanding Models: train and refine 2D/3D vision models for event detection and semantic understanding.
Master Edge Deployment: optimize and deploy these models on edge hardware (NVIDIA Orin).
Define Perception Metrics: move beyond validation loss and define real-world performance metrics that correlate with customer success.
Requirements
3+ Years of Experience in Computer Vision and Machine Learning, with a strong focus on MLOps, deployment, or data infrastructure.
Strong proficiency in Python and PyTorch.
Experience optimizing models for the edge using TensorRT, ONNX Runtime, or CUDA.
Experience utilizing SQL, data lakes, or vector databases to manage large-scale datasets.
Familiarity with VLMs and 2D/3D Vision architectures.
Familiarity with Docker, AWS/GCP (S3, EC2), labeling platforms and experiment tracking tools.
Benefits
health, dental, & vision insurance
unlimited vacation
all federal and state holidays
401K contributions of 5% your salary
travel supplies and other items to make your working life more fun, comfortable, and productive
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