We are pushing the boundaries of artificial intelligence, developing novel approaches to responsible AI. Our research team works on cutting-edge AI applications that directly impact how AI agents work securely in future complex environments.
We're seeking an AI Researcher to advance the state-of-the-art in AI systems while developing practical applications for software development and system optimization. This role combines fundamental research with practical applications in a production environment.
Expert-level mastery of current AI coding and problem-solving tools
Deep understanding of AI model capabilities and limitations
Advanced prompt engineering and AI interaction skills
Experience developing novel AI-assisted development workflows
Ability to evaluate and enhance AI tool effectiveness
Design and implement AI systems for performance optimization
Lead research projects from conception to deployment
Collaborate with engineering teams to deploy AI solutions
Publish research findings in top-tier conferences and journals
Develop novel machine learning models and algorithms
Contribute to the company's IP portfolio through patents and publications
Ph.D. in Computer Science, AI, or related field from a top-tier university
Strong publication record in top-tier AI conferences
Expert knowledge of modern deep learning frameworks
Strong software engineering skills and coding abilities
Experience with distributed AI systems and large-scale training
Excellent written and verbal communication skills
Strong math capability in both linear algebra and abstract algebra
Experience with reinforcement learning and neural-guided optimization
Background in program synthesis or formal methods
Knowledge of compiler optimization techniques
Expertise in AI systems for performance prediction and tuning
Experience with large-scale model training and deployment
Track record of successful research commercialization
ACM-ICPC Regional or World Finals medalist
USACO (USA Computing Olympiad) Gold/Platinum award
Top-tier algorithmic competition achievements
Deep learning frameworks (PyTorch, TensorFlow)
Large language models and transformers
Distributed training systems
Code generation and analysis
Performance optimization
Statistical analysis and experimentation
Research methodology
Technical writing
Python/PyTorch/TensorFlow
Large language models
Distributed training frameworks
Version control systems
High-performance computing systems
Code analysis tools
Research paper writing tools
Freedom to pursue novel research directions
Competitive compensation package
Access to substantial computing resources
Conference attendance and publication support
Collaboration with top researchers
Professional development opportunities