Research Engineer, Universes
Software Development
WFA Digital Insight
As AI continues to evolve, the demand for skilled engineers who can develop and train reliable models is on the rise. With the growth of remote work, companies like Anthropic are leading the charge in creating innovative AI solutions. This role stands out for its unique blend of research and engineering responsibilities, requiring candidates to have a strong foundation in reinforcement learning and a passion for creating beneficial AI systems.
Job Description
About the Role
We are seeking a Research Engineer to help build the next generation of training environments for capable and safe agentic AI. This role combines research and engineering responsibilities, requiring the implementation of novel approaches and contributions to research direction.Responsibilities
- Build the next generation of agentic environments
- Develop rigorous evaluations that measure real capability
- Collaborate across research and infrastructure teams to ship environments into production training
- Debug and iterate rapidly across research and production ML stacks
- Contribute to research culture through technical discussions and collaborative problem-solving
How to Stand Out
- To stand out in this role, highlight your experience in reinforcement learning and AI model development.
- Be prepared to discuss your research experience and how it can be applied to this position.
- Showcase your ability to balance research exploration with engineering implementation.
- A strong portfolio of projects demonstrating your skills in AI and machine learning is essential.
- When negotiating salary, consider the company's focus on creating beneficial AI systems and the potential for long-term growth.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.