About the Role
We are seeking an exceptional Head of Research to lead and scale a world-class AI research organization focused on advancing the state of the art in machine learning, large language models, and applied AI systems. This role is both strategic and hands-on, responsible for defining long-term research vision while actively contributing to breakthrough innovations that directly impact product and business outcomes.
As Head of Research, you will build, mentor, and manage a high-caliber team of researchers and research engineers, partner closely with executive leadership, and translate cutting-edge research into scalable, real-world systems.
Key Responsibilities
- Define and own the research vision and roadmap, aligned with company strategy and long-term goals
- Lead and grow a team of AI Researchers, Applied Scientists, and Research Engineers
- Drive innovation across areas such as:
- Large Language Models (LLMs)
- Reasoning and planning systems
- Representation learning
- Robustness, safety, and evaluation
- Multimodal and agent-based systems
- Balance long-horizon exploratory research with near-term applied research that powers products
- Ensure research excellence through strong scientific rigor, reproducibility, and evaluation standards
- Collaborate with Product, Engineering, and Leadership to transition research into production
- Represent the company externally through publications, conferences, and industry engagement
- Establish best practices for research processes, tooling, and infrastructure
- Mentor senior researchers and develop future research leaders
Required Qualifications
- PhD in Computer Science, Machine Learning, AI, or a closely related field (or equivalent research experience)
- 1-7+ years of experience in AI/ML research, with at least several years in a research leadership role
- Proven track record of high-impact research contributions (top-tier conferences, journals, or widely adopted systems)
- Deep expertise in modern ML techniques, especially LLMs, deep learning, and foundation models
- Experience leading and scaling research teams in industry or advanced research labs
- Strong understanding of the tradeoffs between research innovation and production constraints
- Ability to communicate complex technical ideas clearly to both technical and non-technical stakeholders
Preferred Qualifications
- Experience leading research at a top AI lab, FAANG company, or well-known AI startup
- Publications at leading venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
- Experience with model training at scale, including distributed systems and ML infrastructure
- Background in deploying research models into real-world products
- Prior experience influencing company-level technical strategy
What We Offer
- Base salary up to $600,000, plus competitive equity
- Opportunity to shape the future direction of cutting-edge AI research
- Access to significant compute and research resources
- Collaboration with elite engineers, researchers, and product leaders
- A culture that values deep thinking, experimentation, and long-term impact
