Chief Scientist - Foundation Models

Set the scientific strategy and long-term vision for foundation models (LLMs and multimodal models), including a multi-year roadmap with clear milestones, investment priorities, and success metrics.

Lead research excellence at scale: recruit, mentor, and retain top scientific talent; establish rigorous standards for experimentation, evaluation, reproducibility, and model governance.

Drive breakthrough innovation in model architecture, training at scale, data strategy, optimization/efficiency, inference, evaluation, and alignment—balancing frontier exploration with reliable deployment.

Own the end-to-end research portfolio: prioritize bets across exploratory research, applied research, and enabling platform capabilities; review progress, unblock teams, and ensure high-impact delivery.

Translate research into real-world impact by partnering with engineering and product leaders to deliver production-grade foundation model capabilities (performance, cost, latency, safety, reliability).

Establish technical authority and thought leadership through publications, invited talks, patents, and community engagement (where appropriate), raising the company’s scientific profile.

Advise executives on AI decisions: provide clear guidance on technical trade-offs, risk, governance, and strategic opportunities; shape build/partner decisions and due diligence for collaborations.

Build external partnerships with top universities, research labs, and ecosystem partners to accelerate progress and strengthen recruiting and visibility.