CareerPlan

AI research scientist

San Francisco, CAFull-time2026-11-03 → 2026-11-11
Hybrid

Core

Drive a high-impact research agenda on large language models, agentic reasoning, and system-level capabilities to power enterprise AI deployments.

Role type

Senior IC AI research scientist (LLMs & Agentic Systems)

Builds

Enterprise-grade LLMs, agentic workflows, and post-training pipelines for Fortune 500 clients

Domain

Enterprise AI, Large Language Models, Agentic Systems

Deliverable

production ML models

Required skills

Large language model pre-training and post-training, Supervised fine-tuning (SFT), Reinforcement learning from human feedback (RLHF), DPO, GRPO, Python, PyTorch, JAX, Agentic system design, Multi-step reasoning, Data synthesis and curation, Evaluation benchmark design

Preferred skills

None stated

Technologies

Python, PyTorch, JAX

Responsibilities

Lead independent research agenda on LLMs and agentic systems, Design and execute large-scale post-training experiments, Build novel evaluation benchmarks, Develop scalable data synthesis pipelines, Shape model architecture and training roadmap, Publish original research at top-tier venues, Mentor fellow researchers and engineers

Seniority

Senior, Staff, or Sr. Staff