Staff AI Engineer
| Company | General Motors |
|---|---|
| Location | Austin, TX, USA, Mountain View, CA, USA, Warren, MI, USA |
| Salary | $195000 – $298800 |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Expert or higher |
Requirements
- Master’s degree in Computer Engineering or Data Science
- In-depth Knowledge and experience with software development
- In-depth experience designing, training, testing and deploying deep learning models for vision applications
- In-depth experience with PyTorch, TensorFlow, and/or Keras
- 10+ years of software engineering experience
- 10+ years of AI, ML, and/or data science experience
- In-depth Experience with Ops, MLOps and/or LLMOps
Responsibilities
- Definition and adoption of GM MFG AI capabilities.
- Identify opportunities to update and/or streamline the current AI and GM Robotics Engineering processes together with Manufacturing Engineering SMEs.
- Define and develop ML solutions in real-world environments.
- Computer Vision solutions in real-world environments.
- Ability to digest, design and deploy solutions based on research artifacts.
- Simulation
- Data Visualization
- Designing solutions at scale (minimize operational overhead).
- End to end understanding of systems and interfaces, so solutions can be built to fit within constraints.
Preferred Qualifications
- PhD
- Publications
- In-depth knowledge of ML fundamentals
- Demonstrated experience in developing and deploying ML solutions for real world applications
- Experience in Cloud Technologies such as Docker, K8, and more generically on HPC platforms
- Knowledge in Java/C#, Python, SQL, C/C++
- Strong analytical skills and the ability to think outside the box