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Senior Robot Perception Engineer - Visual Inspection/MLOps

Brightmachines
San Francisco, USA
Senior · 5+ years experience
Hybrid
USD 190000-235000 / year
Discovered 1 months ago
cpluspluskubeflowmlflowpythonpytorch

Full Job Posting

WHAT YOU WILL BE DOING

Develop and optimize visual inspection algorithms for defect detection, anomaly detection, classification, and quality validation using deep learning

Optimize model inference for GPU deployment, leveraging CUDA, TensorRT, and related acceleration frameworks

Collaborate with Mechanical engineers to design illumination setups that maximize inspection accuracy and robustness

Build and maintain data pipelines for model training, evaluation, and continuous improvement

Partner with platform team to establish MLOps practices for model versioning, experiment tracking, automated retraining, and production model monitoring

Harden inspection solutions for production reliability, including monitoring, alerting, and graceful degradation

Work with service engineering and field teams to deploy inspection solutions and support customer rollouts

Define metrics and benchmarks to measure inspection accuracy, throughput, and reliability

WHAT YOU WILL BRING

MS or PhD in Computer Science, Electrical Engineering, or a related field, or the equivalent in experience with evidence of exceptional ability.

5+ years of relevant experience in computer vision and/or machine learning

Strong programming skills in Python

Deep experience with PyTorch for model development and training

Experience optimizing ML models for GPU inference in production environments

Track record of shipping ML/CV models from prototype to production

Experience with image acquisition, camera systems, and sensor integration

IT WOULD BE GREAT IF YOU HAD

Knowledge of lighting and optics for machine vision (diffuse/directional illumination, lens and filters)

Experience with industrial camera systems and standards (GigE Vision, GenICam, CoaXPress)

C/C++ experience for performance-critical components

Experience with MLOps tooling (MLflow, Weights & Biases, Kubeflow, or similar)

Experience with data annotation, labeling workflows, and active learning strategies

Experience with ROS2

Understanding of manufacturing processes and quality control methodologies

Publications or patents in computer vision, deep learning, or related fields

Additional information

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