About The Role

Robust Intelligence builds products to ensure the safe deployment of AI systems. We use cutting edge machine learning methods based on the latest advances in machine learning research. As a machine learning engineer, you'll implement these methods and work with software and frontend engineers to build them into our customer-facing product offerings. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team.

What you will do

• Develop, hone, and implement methods from the field of robust and adversarial machine learning
• Work with software and frontend engineers to build customer-facing software around our core machine learning technology
• Interface with clients in many different fields to better understand their AI security needs

What we look for

• Industry experience developing end-to-end production grade machine learning systems
• Familiarity with advanced machine learning methods
• Good interpersonal skills, communication skills, and understanding of how to tie technical problems to business impact
• Bonuses: research experience, publications, open source code related to machine learning, experience leading a machine learning team

Technologies We Use

• Python and specifically numpy, pandas
• ML frameworks like pytorch, tensorflow, fastai, xgboost, catboost, lightgbm, sklearn etc
• Flask, GRPC, Docker, and Go for integrating with our platform