Internship, Machine Learning Engineer, Noise Vibration Harshness

What You’ll Do

We are looking for a Machine Learning Engineer to join the Noise, Vibration and Harshness team. In this role, you will be involved in developing and implementing audio algorithms that will enable advanced diagnostics for Tesla products. You will also collaborate with our manufacturing and audit teams to seamlessly integrate your algorithms into our production processes.

What You’ll Bring

Strong experience with Python, C++, and software engineering best practices.

• Master’s or PhD candidate in Data Science, Computer Science, Computer Engineering, or proof of exceptional skills in related field.
• An “under the hood” knowledge of deep learning: layer details, loss functions, optimization, etc.
• Fluency with common neural network architectures for audio event detection and classification.
• Experience with PyTorch, or another major deep learning framework such as TensorFlow.
• Experience with data manipulation tools including jupyter notebooks, numpy, scipy, matplotlib, scikit-learn, Python & Bash scripting, Linux environment.
• (bonus) Record of driving research projects from start to end, including conception, experimentation, iteration, and integration into a working product.