Senior Machine Learning Engineer, AI Security

Key Skills

Aartificial intelligence, Analytical and Problem solving, Deep Learning, Effective communication skills, GoLang, Machine learning techniques, Python Programming, PyTorch, TensorFlow, XGBoost

Job Description

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 protections
• Be 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 tools
• Engage 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 security
• 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 an Senior member of the team.

What we look for:

• Minimum of 4 years of experience in the field
• A 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, pandas
• ML frameworks like pytorch, tensorflow, fastai, xgboost, catboost, lightgbm, sklearn etc
• GRPC for integrating with our platform
• Bonus: Golang

$185,000 - $220,000 a year

Robust intelligence (RI) is a people-first company. We offer an array of perks and benefits that ensures our employees’ health and well-being. With RI’s in-office company culture, we offer our employees free daily lunches and dinners (if you are working late), free snacks and beverages, commuter benefits, and an office gym.