Lead Machine Learning Engineer (Robotics & Computer Vision)
Tasks
- Align AI ML with technical strategy
- Build computer vision pipelines
- Define AI ML stack and model architecture
- Deploy models to edge devices
- Design and implement neural network architectures
- Manage end-to-end model lifecycle
- Mentor AI/ML engineers
- Monitor AI computer vision robotics trends
- Optimize models for edge inference
- Own AI ML core product
- Train deep learning models from scratch
- Translate customer feedback into AI ML requirements
- Write custom training loops
Perks/Benefits
- Access to industry experts
- Equity incentives
- Fast decision making
- High-impact environment
- Startup studio support
Skills/Tech-stack
Computer Vision | Control Systems | Convolutional Neural Networks | Custom Training Loops | Data loading | Deep learning | Edge inference | Embedded Systems | Fine Tuning | Image Segmentation | IoT | Loss Functions | Machine Learning | Model Deployment | Neural Networks | Object Detection | PyTorch | ROS | ROS2 | Robotics | Simulation | TensorFlow | Training | Training loops | Vision Transformers
Education
N/A
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