Technical Staff, Training

Role Overview: As a member of the technical staff focused on research and training at Reflection, you will work at the forefront of AI research, conducting groundbreaking studies at the intersection of large language models (LLMs) and reinforcement learning (RL) to build superintelligent autonomous coding systems. You will explore novel methodologies, push the boundaries of LLM capabilities, and contribute directly to the development of agentic AI systems that redefine what is possible in autonomy.

Key Responsibilities:

• Conduct original research in DL and RL with a focus on advancing the capabilities of LLMs and agentic systems.
• Collaborate with world-class researchers to design and execute experiments that lead to breakthrough innovations.
• Explore novel architectures, training methodologies, and reinforcement learning techniques to enhance model autonomy and decision-making.
• Mentor and collaborate with junior researchers and engineers to foster a culture of innovation and excellence.

Qualifications:

• Proven track record of conducting breakthrough research at a top lab in industry or academia
• Experience building state-of-the-art language model or reinforcement learning systems at a frontier lab in industry or academia.
• Deep expertise in language models or reinforcement learning, with a strong track record of impact in your previous roles.
• Prior experience working with LLMs or foundation models is strongly preferred.
• A passion for building agentic systems and advancing the state of AI autonomy.

What We Offer:

• The opportunity to conduct research at the intersection of DL, RL, and LLMs, driving advancements in agentic AI systems.
• Collaboration with a team of world-class researchers and engineers who have worked on landmark projects like ChatGPT, AlphaGo, and Gemini.
• Competitive compensation and benefits, with support for publishing and attending top-tier conferences.

How to Apply: If our mission and approach inspire you, and you enjoy and are capable of building state-of-the-art systems at the frontier, we want to hear from you. Consider applying to join the research team at Reflection.