Senior Data Scientist

About the role

As a Senior Data Scientist you’ll be a key member guiding the productization of AI security protections for discriminative and generative AI models. This is a hands-on technical role that combines individual contribution with team mentorship, engaging closely with engineering and product teams in the AI security space.

Responsibilities

• Lead the data science team, fostering innovation and excellence in AI security engineering
• Translate business needs into short-, medium-, and long-term roadmaps
• Develop technical assets and IP for automated pentesting and real-time monitoring of AI technologies
• Engage with product owners to influence direction and coverage across security frameworks (NIST AI RMF, OWASP, MITRE ATLAS)
• Track and analyze emerging threats to AI systems
• Develop and implement detection and mitigation strategies
• Collaborate with product teams to integrate and operationalize solutions
• Contribute to a culture of innovation, delivery, impact, and continuous improvement
• Create field enablement materials for technical personnel
• Develop white papers, blogs, and presentations that drive customer adoption
• Represent data science as a thought leader at industry events

Requirements

• 7+ years as a Data Scientist or ML Solutions Architect, preferably with an AI/ML security focus
• 5+ years of Python proficiency for analysis, training, evaluation, deployment, and optimization
• 1+ year of experience with LLM technologies (architectures, responsible GenAI, evaluation, customization)
• Deep understanding of AI/ML models, including their vulnerabilities and limitations
• Experience with AI/ML security risks: data poisoning, privacy attacks, adversarial inputs, and DoS attacks
• Strong programming in Python or Golang and ML frameworks such as TensorFlow and PyTorch
• Hands-on experience with AI security best practices, vulnerability assessments, and red teaming
• Excellent written and verbal communication with strong analytical skills

Nice to have

• Experience with open-source LLM frameworks like LangChain and LlamaIndex
• Knowledge of prompt engineering and state-of-the-art model architectures
• Familiarity with AWS, Azure, and Google Cloud services
• Knowledge of deployment technologies (TorchServe, ONNX, Triton, vLLM) and orchestration
• Experience with big data technologies (Hadoop, Spark, MongoDB)
• Track record of thought leadership, innovation, and patenting
• Proof-of-concept exploit development for new or theoretical attacks
• Experience scaling products at hyper-growth startups
• Graduate degree in a quantitative field (statistics, mathematics, data science, engineering, computer science)

TrojAI is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive and welcoming environment for all employees.

[email protected]