LLM Researcher (+ Equity) at well-funded seed-stage robotics AI startup
Jack & Jill · San Francisco, CA · Yesterday
On-siteAnalystFull-time
About the role
The role is for an LLM Researcher at a well-funded seed-stage robotics AI startup based in San Francisco, USA.
Responsibilities
- Lead the development of foundation models for robotics, moving beyond hand-engineered controllers to create general-purpose autonomous policies.
- Apply advanced post-training techniques to video diffusion models to help build systems that generalize across tasks and environments.
- Execute end-to-end post-training workflows including SFT, RLHF, and DPO to align robot policy behaviors.
- Develop and optimize scalable training pipelines for large-scale video diffusion and foundation models.
- Rapidly iterate on model architectures and training infrastructure to improve zero-shot generalization in new environments.
Requirements
- Extensive hands-on experience in post-training LLMs, specifically focused on alignment, reasoning, or multi-modal learning.
- Prolific coding ability with a track record of shipping research code, open-source contributions, or production ML systems.
- A hungry, early-career researcher excited by the prospect of working in-person in San Francisco within a fast-moving, high-stakes startup.
Qualifications
- PhD in Computer Science, Robotics, or a related field.
- Strong publication record in relevant conferences and journals.
- Experience with robotics, computer vision, and natural language processing.
- Knowledge of reinforcement learning, generative models, and multimodal learning.
Skills
- Advanced programming skills in Python, C++, or other relevant languages.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or Stable Diffusion.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
Benefits
- Competitive salary and equity package.
- Opportunities to work on cutting-edge AI research.
- High-intensity, high-ownership environment.
- Collaboration with world-class AI researchers and venture capital firms.
Pay
Salary is not disclosed, but includes equity.
Schedule
The role is full-time and remote-friendly.