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NeoCognition - Member of Technical Staff – Research

deCircle - Palo Alto, California, United States

Still listed by deCircle · checked today · posted 12 Oct 2026 (5 days ago)

OnsiteSeniorFull-timeEngineeringML / AIUSD 280K - 350K / year

Skills: Python, PyTorch, JAX, Tensorflow, Llms, Rlhf, Llama, Mistral, Post-training, Agentic systems, Multi-agent systems

Source: Paraform - https://www.paraform.com/share/neocognition/cmpejiwh000020cjykwkd1wy3

Compensation: $280,000-$350,000 base + competitive equity (likely 0.05%-0.5%).

Location: Palo Alto, CA - on-site 5 days/week; relocation supported; fully remote only for truly exceptional candidates. Visa: open to transfers and most visas; sponsorship for strong candidates willing to relocate.

About this role

As a Member of Technical Staff [Research] at NeoCognition, you'll be part of the core team advancing the frontier of LLM agents: systems that can reason, plan, and act reliably in the real world. You'll lead end-to-end research projects, from conceptualization and experimentation to building and testing product prototypes, working closely with engineers and designers.

Responsibilities

Lead research initiatives in LLM reasoning, post-training, and agentic system design

Develop new methods to improve capability, reliability, and safety of autonomous LLM agents in real-world environments

Collaborate with software and platform engineers to prototype and productionize research outcomes into sticky product experiences

Design and execute experiments, benchmark performance, and analyze model behaviors to identify failure modes and opportunities

Stay abreast of reasoning, multi-agent systems, RLHF, tool use and LLM fine-tuning; contribute to publications or open source where appropriate

Help shape the research culture and technical roadmap as an early team member

Tech stack

Python, PyTorch, JAX, TensorFlow, LLMs, RLHF, Llama, Mistral, Open-weight models, Post-training, Agentic system design, Multi-agent systems, AI coding tools

About NeoCognition

AI agent lab for specialized intelligence, developing AI agents that continuously learn to reach expert-level intelligence. Founding team's research is used in frontier models from OpenAI, Anthropic, Google and others. 10 employees, founded 2025, $40M total funding, Palo Alto.

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