Senior Data Scientist

As a Senior data scientist at TrojAI you will be a key member of the data science team helping guide the productization of AI security protections for both discriminative and generative AI models within the TrojAI platform. If you are looking to technically engage with the largest enterprises in the world, helping them securely adopt AI, this role may be for you.

About the Role
The Senior data scientist will work closely with engineering and product teams as a hands‑on technical expert in the AI security space. In addition to being an individual contributor, this role will help scope out the predictable development and delivery of ongoing AI security protections, providing mentorship across the data science team.

In this role you will:

Help lead the data science team fostering innovation and excellence in AI security engineering translating business needs into short, medium and long‑term roadmaps

Develop technical assets and IP across automated pentesting and real‑time monitoring of both discriminative and generative AI technologies

Engage with product owners to influence product direction and facilitate coverage across security frameworks and standards (e.g., NIST AI RMF, OWASP TOP 10s, MITRE ATLAS, CLOUD SECURITY ALLIANCE, etc.)

Track and analyze emerging threats to AI systems, focusing on AI/ML/GenAI models, applications and environments

Develop and implement detection and mitigation strategies for identified threats, including prototyping new approaches

Collaborate with product teams to integrate and operationalize quantifiable solutions

Contribute to a strong culture of innovation, delivery, impact, and continuous improvement

Create field enablement materials to educate technical field personnel on integrating AI protections into customer workflows

Develop white papers, blogs, reference implementations, and presentations to facilitate customer and partner adoption of AI protections

Represent data science as thought leaders in the AI security space at industry events and conferences

Skills required for this role

Deep understanding of AI/ML models, including their strengths, limitations, risks and vulnerabilities

Experience with AI/ML security risks such as data poisoning, privacy attacks, adversarial inputs, denial of service attacks, etc.

Excellent written and verbal communication skills, paired w. strong analytical and problem‑solving skills

Strong programming skills in generic programming languages such as Python or Golang and machine learning frameworks such as Tensor Flow or Py Torch

Ability to quickly learn new technologies and concepts and to understand a wide variety of technical challenges to be solved

Hands‑on experience with AI security best practices, including vulnerability assessments, red teaming, and cybersecurity controls

7+ years of experience as a Data Scientist or Machine Learning Solutions Architect, preferably with a focus on AI/ML security

5+ years of proficiency in Python for data analysis, model training, evaluation, deployment, and optimization

1+ year of experience with technologies related to large language models (LLM architectures, responsible GenAI, model evaluation, and customization techniques)

Qualifications

Experience with open source frameworks for building applications powered by large language models like Lang Chain and Llama Index

Knowledge of prompt engineering, state‑of‑the‑art model architectures as well as necessary understanding of underlying maths/statistics

Familiarity with AWS, Azure & Google services and the cloud computing landscape

Knowledge of model deployment technologies such as Torch Serve, ONNX, Triton, vLLM and orchestration using docker and Kubernetes is a plus

Familiarity with big data technologies such as Hadoop, Spark, and MongoDB

Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment

Track record of thought leadership and innovation around AI/ML/GenAI, ideally with experience in patenting inventions

Experience developing proof‑of‑concept exploits for new or theoretical attacks

Experience scaling products at hyper‑growth startups

Graduate degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science

TrojAI is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive and welcoming environment for all employees. If you're excited to work on cutting‑edge security challenges at the intersection of GenAI, AI, ML, and data science, join us at TrojAI and help build the future of AI security.

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