NeoCognition Member of Technical Staff – Research
Job Location:
Palo Alto, CA - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Source: Paraform - $280000-$350000 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.
As a Member of Technical Staff Research at NeoCognition youll be part of the core team advancing the frontier of LLM agents: systems that can reason plan and act reliably in the real world. Youll lead end-to-end research projects from conceptualization and experimentation to building and testing product prototypes working closely with engineers and designers.
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
Python PyTorch JAX TensorFlow LLMs RLHF Llama Mistral Open-weight models Post-training Agentic system design Multi-agent systems AI coding tools
AI agent lab for specialized intelligence developing AI agents that continuously learn to reach expert-level intelligence. Founding teams research is used in frontier models from OpenAI Anthropic Google and others. 10 employees founded 2025 $40M total funding Palo Alto.
2 years of LLM research (agents post-training or evaluations) with publications
Hands-on with post-training (instruction tuning RL reasoning) RLHF and open-weight models
Python; PyTorch JAX or TensorFlow
On-site 5 days/week in Palo Alto (relocation supported)
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Required Experience:
Staff IC
About Company
Build onchain with a trusted full-stack platform including Arc, CPN, and USDC. Power payments, trading, and access to the agentic economy.
