- Company Name
- Acceler8 Talent
- Job Title
- Research Scientist (Gen AI)
- Job Description
-
**Job Title**
Research Scientist (Gen AI)
**Role Summary**
Lead research on large‑language‑model (LLM) powered autonomous agents that reason, plan, and interact with the physical world. Develop reasoning and planning frameworks, structured tool‑use and memory systems, and safe policies for long‑horizon decision‑making. Train and evaluate models on real engineering and scientific tasks in collaboration with systems, simulation, and infrastructure teams.
**Expectations**
- Design and iterate innovative LLM‑based agent architectures that demonstrate measurable long‑term reasoning, structured tool use, and safety.
- Deliver rigorous research results, publish in top ML/AI venues, and convert research concepts into production‑ready models.
- Drive cross‑functional integration, meet tight milestones, and maintain high standards of experiment reproducibility.
- Communicate findings clearly to both technical and non‑technical audiences.
**Key Responsibilities**
- Build and refine LLM reasoning, planning, and tool‑use pipelines.
- Implement structured memory, reflection, and multi‑step workflow mechanisms.
- Design, train, and evaluate supervised fine‑tuning (SFT), RLHF, DPO, verifier‑guided RL, and other policy‑training methods.
- Benchmark model performance on real‑world engineering/science scenarios.
- Collaborate with systems, simulation, and infra experts to deploy models in autonomous systems.
- Present research progress at internal workshops and external conferences.
**Required Skills**
- Deep research background in LLMs, reasoning, or autonomous agents.
- Expertise with SFT, RLHF/DPO, verifier‑guided RL, and related training pipelines.
- Demonstrated ability to design and evaluate long‑horizon behaviors.
- Proficiency in Python, PyTorch/TensorFlow, and large‑scale model training.
- Strong analytical, problem‑solving, and communication skills.
- Comfortable working in a fast‑paced, interdisciplinary R&D environment.
**Required Education & Certifications**
- Ph.D. or M.S. in Computer Science, Machine Learning, Artificial Intelligence, Robotics, or a closely related field.
- Proven publication record in leading ML/AI conferences (NeurIPS, ICML, ICLR, ICRA, etc.) preferred.
- Background in safety and robustness of autonomous systems is advantageous.
San francisco bay, United states
On site
26-01-2026