About this role
AI Research Engineer
We are seeking a highly motivated Contract Worker to join our research team working on self-improving agentic systems — a cutting-edge area at the intersection of reinforcement learning, LLM post-training, and autonomous AI research agents. We develop agentic systems that improve their own performance over time, combining reinforcement learning and LLM post-training with agents capable of writing, evaluating, and optimizing code. A central goal is building AI research agents that can autonomously propose, run, and analyze experiments, accelerating the pace of AI research itself.
Self-Improving Agentic Systems and AI Research Agents Responsibilities
- Assist in the design, implementation, and evaluation of self-improving agentic systems and AI research agents.
- Contributes to research on reinforcement learning and LLM post-training methods, including reward design, preference optimization, and RL from execution feedback.
- Collaborate with senior researchers to explore new approaches for autonomous experimentation, code generation, and optimization.
- Help build and maintain evaluation harnesses and benchmarks for agentic capabilities.
- Help document findings and prepare research outputs for publication.
Minimum Qualifications
- Has completed a Ph.D. degree or is currently pursuing a PhD in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics or relevant technical field
- Experience with Python, C++, C, Java or other related languages
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Experience building systems based on machine learning and/or deep learning methods
Preferred Qualifications
- Eagerness to learn about advanced AI concepts such as reinforcement learning, LLM post-training, agentic scaffolding, and self-improvement
- Excellent problem-solving and communication skills
Apply now »
Apply now
Apply Now
Start applying with LinkedIn Start
Please wait...
Find similar jobs:
Opens in a new tab.
Opens in a new tab.
Opens in a new tab.
Opens in a new tab.
Opens in a new tab.
mmMwWLliI0fiflO&1