Bright Machines
Senior Robot Perception Engineer - Visual Inspection/MLOps
San Francisco, California · Senior
Sponsorship not specified$190k-$235kDetected 120 days ago
PythonMachine LearningDeep LearningPyTorchComputer VisionMLOpsProduct ManagementProduct StrategyRoboticsMechanical DesignElectrical EngineeringSensors
About the role
- As a senior Robot Perception Engineer on the Smart Robotics team at Bright Machines, you will be a hands-on senior contributor responsible for productizing visual inspection solutions for our automation platform.
- 5+ years of relevant experience in computer vision and/or machine learning
- Experience optimizing ML models for GPU inference in production environments
Responsibilities
- You will own the full pipeline-from algorithm development to production deployment-turning prototype inspection capabilities into reliable, high-throughput features that operate at scale across our automation lines.
- RETHINK MANUFACTURING The only way to ignite change is to build the best team.
- We deliver products to meet the demands of today while continuously investing in our Bright Factory model to take advantage of what comes next.
Requirements
- MS or PhD in Computer Science, Electrical Engineering, or a related field, or the equivalent in experience with evidence of exceptional ability.
- Deep experience with PyTorch for model development and training
- Experience with image acquisition, camera systems, and sensor integration
Skills
- Strong programming skills in Python
Compensation
- $190k-$235k
Benefits
- In this role, you will develop and optimize computer vision and deep learning models for defect detection, classification, and visual validation.
- Additionally, you will have the opportunity to shape the inspection product roadmap and drive the adoption of cutting-edge machine learning techniques in an industrial setting.
Company info
- Working with us means you'll have the opportunity to make lasting, impactful changes for our company and our customers.
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This listing is sourced directly from Bright Machines's careers page and normalized into a canonical job model.