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Machine Learning Engineer
Build ML models and algorithmic approaches to detect and protect against AI security risks.
San Francisco Bay Area
Senior
$150,000 - 175,000 USD / year
3 months ago
Robust Intelligence
The end-to-end solution for AI risk management and prevention
1 Similar Job at Robust Intelligence
✨ About The Role
- Develop ML models and algorithmic approaches to detect and protect against AI security risks
- Build end-to-end ML workflows, experimentation pipelines, and evaluation strategies
- Collaborate with researchers, engineers, and security experts to design, develop, and deploy innovative AI solutions
- Track and identify AI security risks, experiment with latest ML techniques, and deploy protection mechanisms
- Contribute to the overall machine learning culture and work on advancing the state of AI
âš¡ Requirements
- Experienced in AI, machine learning, and deep learning with a strong background in computer science or engineering
- Skilled in programming languages such as Python and Golang, with a hands-on learning attitude and problem-solving skills
- Excellent communication skills and the ability to work collaboratively in a cross-functional team
- Comfortable with experimentation and building ML models to detect and protect against AI security risks
- Thrives in a fast-paced environment and enjoys contributing to a diverse team focused on building secure AI solutions
Machine Learning Engineer
San Francisco Bay Area
$150,000 - 175,000 USD / year
Software
About Robust Intelligence
The end-to-end solution for AI risk management and prevention