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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
1 month ago
Robust Intelligence

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

⚡ 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
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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