Machine Learning Engineer

Robust Intelligence's mission is to eliminate AI Risk. As the world increasingly adopts AI into automated decision processes, we inherit great risk. 

Our flagship product is built to be integrated with existing AI systems to enumerate and eliminate risks caused by unintentional and intentional (adversarial) failure modes. With Generative AI becoming increasingly popular, new vulnerabilities and attacks present a significant threat to AI companies and their consumers. Our Generative AI Firewall provides a safety net against these failure modes.

At Robust Intelligence, we have built a multidisciplinary team of ML Engineers, AI security experts, and software engineers to advance the state of AI security. Together, we're building the future of secure, trustworthy AI.

About The Role

Robust Intelligence is the leader in AI Security. There is no dearth of challenges to solve, the AI landscape is constantly evolving and the threat landscape is changing rapidly, this provides you with a fertile opportunity to build impactful solutions that make AI safe and secure for everyone.

As an ML Engineer build ML models and algorithmic approaches to detect and protect against AI security risks. You will develop deep domain knowledge in AI and security, you will touch all aspects of building detection techniques and deploying them to production environments. You are at home working with a cross-functional team of researchers, engineers, and security experts to design, develop and deploy innovative AI solutions.

As a MLE you will:

• Track and identify AI security risks, experiment with latest ML techniques to build SoTA protections
• Be hands-on and build e2e ML workflows, experimentation pipelines, evaluation strategies. Deploy and productizing protection mechanisms.
• Work with Senior Engineers to understand with latest GenAI research and applications that lead to novel security risk
• Participate in red-teaming assessments to help uncover threats, to gather context and collect data used to solidify our products.
• You'll have the opportunity to contribute to our overall machine learning culture as a member of the team.

What we look for:

• A BS or MS in Computer Science/Engineering.
• A strong background in AI, machine learning, and deep learning.
• An attitude of hands-on learning and constant experimentation to decompose and understand problem areas.
• Strong programming skills in generic programming languages such as Python or Golang.
• Excellent written and verbal communication skills, strong analytical and problem-solving skills.

Technologies we use:

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