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Technical Staff, Training

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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.

Average salary estimate

$100000 / YEARLY (est.)

min

max

$80000K

$120000K

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What You Should Know About Technical Staff, Training, Reflection AI

At Reflection, we're excited to invite you to join our team as a Technical Staff member focused on Training in New York. This is not just a job; it’s an opportunity to immerse yourself in the cutting-edge world of AI research. You will be collaborating with brilliant minds to push the boundaries of what’s possible by advancing the intersection of large language models (LLMs) and reinforcement learning (RL). Your role will involve conducting original research that drives the development of superintelligent autonomous coding systems. You’ll explore innovative methodologies and directly contribute to breakthrough innovations in agentic AI systems, reshaping the future of autonomy. Your responsibilities will include not only designing and executing transformative experiments alongside world-class researchers but also mentoring junior colleagues, fostering a culture of creativity and excellence. Your qualifications should include a proven track record in breakthrough research at leading labs—whether in industry or academia. If you have experience with state-of-the-art language models or RL systems, you're just the person we're looking for! Being passionate about building agentic systems is a must, along with a strong background in LLMs or foundation models. Plus, you’ll be rewarded with competitive compensation and benefits, along with the chance to publish your work and attend elite conferences. If this resonates with you, we’d love for you to apply and help us drive forward the future of AI at Reflection!

Frequently Asked Questions (FAQs) for Technical Staff, Training Role at Reflection AI

What are the key responsibilities of a Technical Staff member in Training at Reflection?

As a Technical Staff member focused on Training at Reflection, you'll be tasked with conducting original research in deep learning and reinforcement learning, specifically aimed at advancing the capabilities of large language models (LLMs) and agentic systems. Additionally, you'll be collaborating with an exceptional team of researchers to design experiments that lead to innovative breakthroughs while mentoring junior staff to ensure a collaborative and inventive environment.