DesignOn-site

Member of Technical Staff [Research]

NeoCognition · On-site

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Last seen by MeritLog September 13, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from NeoCognition's Ashby job board and last checked it on September 13, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: Not listed by source
Location: Palo Alto

Hiring context

How this role compares at NeoCognition

NeoCognition has 4 live roles in MeritLog’s catalog across 2 job families, and 2 of them are in design. 0 of those listings publish a pay range, a disclosure rate of 0%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

Lead research initiatives in the areas of 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 emerging work in reasoning, multi-agent systems, RLHF, tool use, and LLM fine-tuning - and contribute to publications or open-source efforts where appropriate.
Help shape the research culture and technical roadmap of the company as an early member of the team.

What they're asking for

Strong background in machine learning, natural language processing, or AI systems, with experience in large language models (LLMs).Skill
Deep understanding of one or more of the following areas:Skill
Agentic system design (tool-use, planning, reasoning, computer-use)Skill
LLM post-training (instruction tuning, RL, reasoning)Skill
Data pipeline design and model evaluationSkill
Proficiency in Python and familiarity with modern ML frameworks (e.g., PyTorch, JAX, or TensorFlow).Skill
Demonstrated ability to design, execute, and analyze research experiments - from idea to implementation.Skill
Strong communication skills and ability to work collaboratively in a fast-paced, cross-disciplinary environment.Skill
Experience working with open-weight models (e.g., Llama, Mistral, or similar) and training infrastructure.SkillPreferred
Publications in top-tier AI venues (NeurIPS, ICLR, ICML, ACL, etc.).SkillPreferred
Prior experience building research prototypes into usable tools or products.SkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

ABOUT THE 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. We are an AI research lab focused on making LLM agents reliable, grounded, and accessible to users, developers and enterprises. You’ll lead end-to-end research projects - from conceptualization and experimentation to building and testing product prototypes - working closely with our engineers and designers to turn cutting-edge ideas into practical, impactful systems. RESPONSIBILITIES - Lead research initiatives in the areas of 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 emerging work in reasoning, multi-agent systems, RLHF, tool use, and LLM fine-tuning - and contribute to publications or open-source efforts where appropriate. - Help shape the research culture and technical roadmap of the company as an early member of the team. QUALIFICATIONS REQUIRED - Strong background in machine learning, natural language processing, or AI systems, with experience in large language models (LLMs). - Deep understanding of one or more of the following areas: - Agentic system design (tool-use, planning, reasoning, computer-use) - LLM post-training (instruction tuning, RL, reasoning) - Data pipeline design and model evaluation - Proficiency in Python and familiarity with modern ML frameworks (e.g., PyTorch, JAX, or TensorFlow). - Demonstrated ability to design, execute, and analyze research experiments - from idea to implementation. - Strong communication skills and ability to work collaboratively in a fast-paced, cross-disciplinary environment. NICE TO HAVE - Experience working with open-weight models (e.g., Llama, Mistral, or similar) and training infrastructure. - Publications in top-tier AI venues (NeurIPS, ICLR, ICML, ACL, etc.). - Prior experience building research prototypes into usable tools or products.

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