AI Research Scientist III (Full Time) – United States

What you'll do

• Develop scalable data curation and processing methods to improve model training and task-specific performance.
• Build production-ready AI systems and optimize large language models and agentic systems for enterprise and security-focused use cases.
• Conduct and publish AI research, including scientific articles, technical blog posts, and open-source contributions.

What they ask for

• Bachelor’s + 5 years, Master’s + 3 years, or PhD + 0 years of related experience in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong experience with Python, PyTorch, production-grade software engineering practices, and common AI/ML libraries.
• Experience with large language models, including training, fine-tuning, evaluation, inference, and optimization.
• Strong understanding of data pipelines, model experimentation, and scalable AI system design; strong communication skills.

Nice to have

• Experience building scalable data curation methods and reliable infrastructure for large-scale model training, evaluation, inference, and deployment.
• Experience with high-performance inference engines, cloud-native deployment, Docker, Kubernetes, MLOps, major cloud platforms, research publishing, open-source AI, agentic systems, or security-focused AI.

Pay

$184,000.00 - $274,600.00 USD base salary; $168,000.00 - $244,300.00 USD base salary

Tools

Python, PyTorch, vLLM, NVIDIA Triton, TorchServe, Docker, Kubernetes, AWS

AI focus

Frontier AI research and development focused on large language models, agentic AI, multimodal learning, scalable data curation, training and inference optimization, and enterprise/security-focused AI systems.