Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
About the role
- 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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