Lead AI Engineer (Robotics Automation)
Tasks
- Build AI ML MVP components
- Build computer vision pipelines
- Design model architecture
- Develop end to end AI ML lifecycle
- Integrate AI into robotics product
- Mentor AI/ML engineers
- Monitor AI computer vision and robotics trends
- Own AI ML core
- Train and fine-tune models
- Translate customer feedback to AI ML requirements
Perks/Benefits
- Access to industry experts
- Equity incentive package
- Fast decision making
- High-impact environment
- Startup studio support
Skills/Tech-stack
Cloud Edge | Cloud-Edge Architecture | Computer Vision | Computer Vision Pipelines | Data Processing | Data collection | Deep learning | Edge Architecture | Embedded Systems | Fine Tuning | IoT | Machine Learning | Model Fine-tuning | Model Training | PyTorch | Python | ROS | ROS2 | Robotics | Simulation | TensorFlow | Vision Pipelines
Education
N/A
Roles
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