Applied AI Research Scientist

Applied AI Research Scientist – Computer Science / Computer Engineering (Remote)

We are seeking skilled and motivated Applied AI Research Scientists in Computer Science and Computer Engineering with an MS or Ph.D. in a relevant technical field. In this role, you will contribute to the design, validation, and execution of expert-level evaluation tasks that probe the limits of state-of-the-art AI systems. Your work will focus on creating headroom-level, rigorously verifiable evaluation questions across hardware, systems, and computing domains to assess and stress-test advanced multimodal and reasoning-capable AI models.

This position requires deep domain expertise, strong analytical rigor, and the ability to translate complex technical concepts into precise, evaluable challenges that expose model limitations beyond surface-level reasoning. You will work closely with a collaborative, cross-functional team and are expected to be a reliable team player who is highly detail-oriented and committed to accuracy and quality.

Key Responsibilities:

• Design headroom-level evaluation questions requiring advanced reasoning and graduate-level domain expertise in CS/CE
• Ensure all tasks are objectively verifiable with clear, definitive ground-truth answers
• Develop high-quality multimodal prompts, including accurate technical diagrams or visuals when appropriate
• Identify and document model headroom by conducting structured side-by-side evaluations of SOTA models such as Gemini and ChatGPT
• Document model failures and reasoning gaps, provide correct solutions, and maintain accurate records of prompts, answers, and evaluation results in shared tracking systems

Qualifications:

• MS or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, Data Science, or a closely related field
• Strong expertise in two or more CS/CE domains such as hardware, computer architecture, systems, VLSI design, embedded systems and IoT, operating systems, compilers, systems security, or AI/ML
• Proven experience with applied AI research, technical evaluation, or research-driven problem formulation in real-world or production-oriented settings
• Strong programming proficiency, with experience in Python for analysis, verification, and evaluation workflows
• Strong written communication skills and the ability to collaborate effectively as a detail-oriented team player
• Familiarity with modern AI model capabilities, limitations, and benchmarking practices is a strong plus

Please let me know if you have any questions.