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Senior Data Scientist / Applied AI Researcher
Not specifiedFull-timeData ScienceCybersecurityEnterprise Software
Join a multidisciplinary team developing practical AI security solutions for enterprise customers. Own the full lifecycle from research design and model development to production deployment and iteration under real-world traffic.
Responsibilities
- Formulate ambiguous AI security problems and design structured research approaches.
- Lead solutions from problem formulation and research design through model development, evaluation, deployment, and iteration.
- Develop scalable, efficient, robust AI systems for production traffic.
- Define metrics, evaluate models, and conduct detailed failure analysis.
- Assess advances in NLP and large language models for potential production use.
- Drive technical direction for applied AI security initiatives.
Requirements
- At least 5 years of hands-on experience applying natural language processing and deep learning to real-world problems.
- Practical experience with large language models and task-specific model development across the research and development lifecycle.
- Strong Python skills and proficiency with modern deep learning frameworks such as PyTorch and Hugging Face.
- Experience designing experiments, defining evaluation metrics, and analyzing model failures.
- Strong understanding of textual data and model behavior.
- Ability to balance scientific rigor, innovation, scalability, efficiency, and practical production constraints.
Benefits
- Work in a lean, multidisciplinary team with frequent delivery and visible impact.
- Combine startup innovation with enterprise-scale reliability and commercial reach.
- Contribute to advanced AI security research and production systems.