Innovate and strengthen pioneering security platforms with AI and LLM technologies.
Collaborate closely with AI researchers, software engineers, and product teams to productionize cutting-edge AI solutions.
Create advanced tools for automated red-teaming, vulnerability detection, adversarial attack simulation, and intelligent defenses.
Optimize AI/LLM models for inference speed, cost-efficiency, and resource utilization in production.
Develop and maintain pipelines for end-to-end AI/LLM workflows, covering data preprocessing, training, fine-tuning, validation, deployment, and monitoring.
Monitor model performance and behavior in production, addressing safety, alignment, and security vulnerabilities.

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
3-5 years of professional experience, including hands-on experience developing, training, and deploying AI/LLM models.
Familiarity with AI/LLM libraries and tools such as PyTorch, TensorFlow, Hugging Face Transformers, or similar frameworks.
Understanding of LLM security vulnerabilities and implementing mitigation solutions.
Proven expertise in deploying AI/ML models in production environments, emphasizing secure deployments.
Strong analytical and problem-solving skills applied to complex AI challenges.
Experience fine-tuning and deploying large-scale language models, including using frameworks like vLLM or TGI (preferred).
Familiarity with Reinforcement Learning from Human Feedback (RLHF) for improving LLM alignment and performance (preferred).
Knowledge of vector databases (e.g., Pinecone, Weaviate) and their applications in AI workflows (preferred).
Expertise with cloud platforms and distributed computing for large-scale AI operations (preferred).
Hands-on experience optimizing models for cost, speed, and resource efficiency in production workflows (preferred).

Data Scientist

Key skills