AI Researcher

Polyhedra Network; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation package

Access to substantial computing resources

Conference attendance support

Collaboration with top researchers

Professional development opportunities

Job summary

A leading AI research organization is seeking an AI Researcher to develop and optimize AI systems. The role involves leading research projects, collaborating with engineering teams, and publishing findings. Candidates must have a Ph.D. and a strong publication record. The organization offers competitive compensation and professional development opportunities.

Qualifications

• Ph.D. from a top-tier university is required.
• Expert knowledge of deep learning frameworks is necessary.
• Strong software engineering and coding skills are essential.

Responsibilities

• Design and implement AI systems for performance optimization.
• Lead research projects from conception to deployment.
• Collaborate with teams to deploy AI solutions.

Skills

Expert-level mastery of AI coding tools

Deep understanding of AI model capabilities

Advanced prompt engineering skills

Experience in AI-assisted development workflows

Ability to enhance AI tool effectiveness

Education

Ph.D. in Computer Science, AI, or related field

Strong publication record in AI conferences

Tools

Python

PyTorch

TensorFlow

High-performance computing systems

Version control systems

Job description

About Polyhedra Network

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.

About The Role

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.

AI Tool Proficiency Requirements

• 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

What You Will Do

• 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

Required Qualifications

• 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

Preferred Qualifications

• 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

Technical Skills

• 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

Required Tools & Technologies

• Python/PyTorch/TensorFlow
• Large language models
• Distributed training frameworks
• Version control systems
• High‑performance computing systems
• Code analysis tools
• Research paper writing tools

What We Offer

• 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