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
As an ML Engineer with AI Security focus you will need to understand advances in AI technology and the security risks that follow such advancement. You will build ML models and algorithmic approaches to detect and protect against such security risks. As a senior MLE you will develop deep domain knowledge in AI and security to research, innovate, lead and influence our product direction. 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 an Senior MLE you will:
Track and identify AI security risks, experiment with latest ML techniques to build SoTA protectionsBe hands-on and build e2e ML workflows, experimentation pipelines, evaluation strategies. Deploy and productizing protection mechanisms.Engage with the AI security community to create standardized taxonomies, datasets and toolsEngage with latest GenAI research and applications and be a leader in exposing security risks, for e.g. How the Agentic Application of GenAI leads to expanded threat vector surface area?Along the way, publish research, white-papers and blogs to share novel techniques for application of AI towards AI securityParticipate 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 an Senior member of the team.
What we look for:
Minimum of 4 years of experience in the fieldA MS or Ph.D. in Computer Science/Engineering (an added bonus will be a focus on AI/Security.)Deep domain knowledge about AI technologies and/or information security.A strong background in AI, machine learning, and deep learning.Strong programming skills in generic programming languages such as Python or Golang.Experience in applying AI technology to security domain is highly preferred.Excellent written and verbal communication skills, strong analytical and problem-solving skills.
Technologies we use:
Python and specifically numpy, pandasML frameworks like pytorch, tensorflow, fastai, xgboost, catboost, lightgbm, sklearn etcGRPC for integrating with our platformBonus: Golang
