Hybrid Machine Learning Engineer, Perception R&D

Posted 4 weeks ago

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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

Job title

Machine Learning Engineer, Perception R&D

Job type

Experience level

Mid levelSenior

Salary

$130,000 - $160,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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