Job Details

AI Research Scientist

Location: San Francisco Bay Area

About Us

We are at the forefront of artificial intelligence, pioneering innovative approaches to responsible AI. Our research team focuses on cutting-edge AI applications that directly influence the secure operation of AI agents in complex future environments.

Role Overview

We are seeking an AI Research Scientist to push the boundaries of AI systems while developing practical applications for software development and system optimization. This position merges foundational research with real-world applications in a production setting.

Key Responsibilities

1. Design and implement AI systems aimed at performance optimization.
2. Lead research initiatives from conceptualization to deployment.
3. Collaborate with engineering teams to integrate AI solutions effectively.
4. Publish research findings in leading conferences and journals.
5. Develop innovative machine learning models and algorithms.
6. Contribute to the company's intellectual property through patents and publications.

Required Qualifications

1. Ph.D. in Computer Science, Artificial Intelligence, or a related field from a reputable institution.
2. Strong publication record in top-tier AI conferences.
3. Expertise in modern deep learning frameworks.
4. Proficient software engineering skills and coding abilities.
5. Experience with distributed AI systems and large-scale training.
6. Excellent written and verbal communication skills.
7. Strong mathematical foundation in linear and abstract algebra.

Preferred Qualifications

1. Experience with reinforcement learning and neural-guided optimization.
2. Background in program synthesis or formal methods.
3. Knowledge of compiler optimization techniques.
4. Expertise in AI systems for performance prediction and tuning.
5. Experience with large-scale model training and deployment.
6. Proven track record of successful research commercialization.
7. Achievements in top-tier algorithmic competitions (e.g., ACM-ICPC, USACO).

Technical Skills

1. Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow).
2. Experience with large language models and transformers.
3. Knowledge of distributed training systems.
4. Skills in code generation and analysis.
5. Ability in performance optimization.
6. Competence in statistical analysis and experimentation.
7. Strong research methodology and technical writing skills.

Tools & Technologies

1. Python, PyTorch, TensorFlow.
2. Large language models.
3. Distributed training frameworks.
4. Version control systems.
5. High-performance computing systems.
6. Code analysis tools.
7. Research documentation tools.

What We Offer

1. Autonomy to explore innovative research directions.
2. Competitive compensation package.
3. Access to extensive computing resources.
4. Support for conference attendance and publications.
5. Collaboration opportunities with leading researchers.
6. Professional development prospects.

If you are passionate about advancing artificial intelligence and developing responsible AI solutions, we invite you to join our team.