At a Glance
- Tasks: Design and refine reinforcement learning training environments while collecting and analysing data.
- Company: Join Eigent AI, a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with exciting projects and career advancement potential.
- Why this job: Make a real impact in AI by improving RL tasks and validation environments.
- Qualifications: Strong Python skills and a solid grasp of reinforcement learning concepts required.
The predicted salary is between 60000 - 80000 Β£ per year.
Eigent AI is seeking an RL Environment Data Engineer / Researcher to design and refine reinforcement learning training environments.
This role emphasizes data collection, task definition, and the implementation of anti-reward-hacking mechanisms.
The ideal candidate will have strong Python coding skills and a solid understanding of reinforcement learning.
Responsibilities include collaborating with multiple teams to improve RL tasks and validation environments.
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We think you need these skills to ace RL Environment Architect & Data Research Engineer
Python Coding Skills
Reinforcement Learning
Data Collection
Task Definition
Anti-Reward-Hacking Mechanisms
Collaboration Skills
Validation Environment Design