Skip to contentSenior Machine Learning Engineer – AI Core Infrastructure
| Company | General Motors |
|---|
| Location | Mountain View, CA, USA |
|---|
| Salary | $152000 – $230000 |
|---|
| Type | Full-Time |
|---|
| Degrees | |
|---|
| Experience Level | Senior |
|---|
Requirements
- 4+ years in software engineering or ML infrastructure (or post-graduate equivalent)
- Proven track record of building cutting-edge AI infrastructure (data, training, eval and/or serving)
- Strong understanding of modern AI algorithms, models and frameworks (e.g. PyTorch, TensorFlow etc.)
- Experience deploying AI systems on Cloud-based GPUs/TPUs (AWS, Azure, GCP, etc.)
- Fluency in Python, and at least one of C++/Go/Java.
Responsibilities
- Design, develop and test cutting-edge AI infrastructure, including data pipelines, fine-tuning frameworks and evaluation tools
- Collaborate with researchers and industry partners to understand technical requirements and measure impact
- Scale our architecture to deploy reliably and performantly across large-scale applications
- Define best practices for AI software engineering across the company, including AI safety/guardrails
- Provide technical guidance to internal teams and business partners
Preferred Qualifications
- Experience in the automotive industry or working with physics-based simulations
- Experience with natural language AI, such as customization, summarization and translation
- Experience with test-driven development.
