Member of Technical Staff - Pre-Training

📋 Description

• • Join ReflectionAI Inc. as a Member of Technical Staff focused on Pre-Training, a pivotal role in our mission to build and democratize open superintelligence. We are at the forefront of developing open-weight models designed for a diverse range of users, from individuals and agents to large enterprises and even nation-states. Our team comprises distinguished AI researchers and seasoned company builders, with individuals hailing from elite institutions and companies such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic, bringing a wealth of experience and a shared passion for advancing artificial intelligence.
• • In this role, you will be instrumental in researching and developing cutting-edge solutions across critical areas of large language model (LLM) development. This includes delving into advanced algorithms, understanding and applying scaling laws, mastering data processing techniques, innovating with optimizers, and architecting novel model designs. Your work will directly contribute to pushing the boundaries of what's possible in AI.
• • A significant aspect of your contribution will involve designing and executing scientific experiments. These experiments are crucial for deepening our collective understanding of how to effectively scale large language models and enhance data efficiency. You will be responsible for analyzing results, drawing insights, and communicating findings to the team, thereby guiding our research direction.
• • You will have the opportunity to implement state-of-the-art methods and techniques drawn directly from the latest deep learning literature. This requires staying abreast of the rapidly evolving field and translating theoretical advancements into practical, impactful solutions.
• • This position offers the chance to lead small, focused research projects independently, fostering autonomy and ownership. Simultaneously, you will collaborate effectively on larger, more complex initiatives, leveraging the collective expertise of our talented team. This blend of independent leadership and collaborative effort is key to our success.
• • A core responsibility will be to optimize our training infrastructure. This involves identifying bottlenecks, developing strategies, and implementing changes to ensure the most efficient and effective scaling of our models. Your efforts here will directly impact our ability to train larger, more capable models faster.
• • You will contribute across the entire technology stack, demonstrating versatility and a holistic understanding of the development process. This ranges from low-level optimizations that enhance performance and resource utilization to high-level model design that defines the capabilities and architecture of our AI systems.
• • We are looking for individuals who possess a graduate degree (MS or PhD) in Computer Science, Machine Learning, or a closely related quantitative discipline. This academic foundation should be complemented by solid software engineering capabilities, particularly in the context of building and maintaining large-scale systems.
• • Experience with large-scale Extract, Transform, Load (ETL) workflows and the intricate process of preparing training data is highly valued. The quality and scale of data are paramount in LLM development, and your expertise in this area will be critical.
• • A deep understanding of large-scale machine learning is essential, with a specific emphasis on its application to language models, distributed training methodologies, and the challenges and solutions associated with scaling these systems.
• • Proficiency in Python is a must, along with hands-on experience with major deep learning frameworks. PyTorch is preferred, given its widespread adoption and robust ecosystem in the research community.
• • The ideal candidate can adeptly navigate the inherent trade-offs between ambitious research objectives and the practical engineering realities of deploying and scaling systems. This requires a pragmatic yet innovative approach.
• • You should thrive in a fast-paced, high-agency startup environment where a bias toward action and proactive problem-solving are highly encouraged and rewarded.
• • Strong communication capabilities are vital, enabling you to articulate complex ideas clearly and collaborate effectively with a diverse team. Comfort working collaboratively is a prerequisite for success in our environment.
• • Above all, we seek individuals who are genuinely passionate about advancing the frontier of artificial intelligence and contributing to the development of open, accessible superintelligence. Your enthusiasm and dedication will be a driving force for our collective achievements.
• • Joining ReflectionAI means being part of a small, talent-dense team that is building foundational AI from the ground up. You will play a significant role in shaping our company's future and defining the cutting edge of open foundational models. We are committed to enabling you to do the most impactful work of your career, ensuring you and your loved ones are well-supported.