Key skills
PythonPyTorchTensorflowC++CAIMachine LearningMLTensorFlow
About this role
Role Overview
- Develop and optimize AI/ML models for resource-constrained edge devices
- Collect, preprocess, and analyze datasets to train and validate models
- Apply model compression, quantization, and pruning techniques
- Ensure models perform reliably in real-world environments
- Collaborate closely with hardware engineers on AI model integration
- Identify and manage technical risks throughout the project
Requirements
- 2+ years of experience developing machine learning solutions
- Proficient in programming with C, C++, and Python
- Experience with machine learning frameworks (TensorFlow Lite, PyTorch, etc.)
- Understanding of model compression, quantization, and optimization techniques for edge devices
- Fundamentals of audio and speech signal processing
- Experience with embedded systems and hardware platforms
Tech Stack
- Python
- PyTorch
- Tensorflow
Benefits
- Health insurance
- 401(k) plan
- Paid time off
- Paid holidays
- Discretionary bonus