1mind is a platform that deploys multimodal Superhumans for revenue teams, and they are seeking an AI Research Lead to define and drive their research agenda. The role involves leading exploratory research into vertical post-training for sales and GTM domains, developing models that understand human interactions in sales.
Responsibilities:
- Own and drive the post-training research roadmap for 1mind’s vertical AI models, from exploration through production deployment
- Design and execute experiments on sales LLM fine-tuning, copilot behavior modeling, and domain-specific reinforcement learning
- Leverage 1mind’s live RL environment and high-fidelity reward signals from real-world agent interactions to train and iterate on models
- Develop novel post-training techniques — RLHF, DPO, reward modeling, and beyond — tailored to GTM and conversational commerce use cases
- Collaborate cross-functionally with engineering, product, and GTM teams to translate research into measurable product improvements
- Build and lead the research org over time — hiring, mentoring, and setting the technical bar for a world-class applied research team
- Evaluate new model architectures, training strategies, and inference optimizations for 1mind’s multimodal agent stack
- Publish research findings and contribute to open-source and open-weight model initiatives where appropriate