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.

What you will 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 you need

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.

Read the job posting on the NeoCognition site

Similar jobs at other companies

ES
Member of Technical Staff, AI Research Scientist
Edison ScientificSan Francisco
- Onsite
- Research
- Member of Technical Staff
$210K–$350K / yr
Posted Jun 25, 2026
Member of Technical Staff (Machine Learning Engineer, Search Agent RL)
PerplexityBelgrade +2
- Hybrid
- ML / AI engineering
- Member of Technical Staff
Pay not posted
Posted Oct 6, 2026
Research Engineer - Meta Superintelligence Labs (Technical Leadership)
MetaMenlo Park, California
- Onsite
- Research
$219K–$301K / yr
Posted Aug 12, 2026
checked 8 days ago
Research Engineer
Nace AIPalo Alto, CA
- Onsite
- Research
Pay not posted
Posted Mar 17, 2026
TG
Applied AI Engineer - Agent
The General Intelligence Company of New YorkNew York
- Onsite
- ML / AI engineering
$250K–$300K / yr
Posted Sep 29, 2025
Research Engineer / Scientist, Post-Training
LettaSan Francisco Office
- Research
Pay not posted
Posted Feb 4, 2025

Source: the NeoCognition Ashby job board. We last checked this job 9 h ago. We first saw it 4 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.

Interview questions

No one has reported an interview at NeoCognition yet. Did you interview there? Add the questions.

NeoCognition

Open tech jobs: 4
With posted pay: 0%

About NeoCognition: funding, hiring and pay