ML Researcher

📋 Description

• • Join Fundamental, a groundbreaking AI company founded by DeepMind alumni, at the forefront of revolutionizing enterprise decision-making. We are pioneering the future with NEXUS, the world's most powerful Large Tabular Model (LTM), specifically engineered for the structured data that powers business operations. Our mission is to unlock trillions of dollars in value by empowering businesses with the 'Power to Predict'. As a Machine Learning Researcher, you will be instrumental in this mission, working on unprecedented technical challenges in foundation model development and building technology that will fundamentally transform how the world's largest companies operate.
• • This is a unique opportunity to be a foundational member of a category-defining company, shaping the future of enterprise AI from its inception. You will immerse yourself in cutting-edge research and development, contributing to the entire lifecycle of advanced Machine Learning models.
• • As a key member of our Research team, your responsibilities will span the full spectrum of ML model development. This includes contributing to the ideation phase, meticulously designing novel architectures and algorithms, implementing these innovations, and rigorously evaluating their performance. Your work will directly impact the models that are deployed in real-world enterprise environments.
• • You will share responsibility for the performance of our models in every conceivable aspect. This means not only achieving state-of-the-art evaluation scores through innovative architectures and training methodologies but also establishing robust evaluation protocols and implementing efficient training and inference methods. The pursuit of groundbreaking research is intrinsically linked to solid engineering practices.
• • Therefore, alongside your research endeavors, you will play a crucial role in ensuring our research code facilitates swift, rapid development and testing of new ideas. This applies to both your own innovative concepts and those of your fellow team members, fostering a collaborative and agile research environment.
• • You will engage with the entire lifecycle of AI model development, from conceptualization and data preparation to training, fine-tuning, evaluation, and deployment considerations. This holistic approach ensures a deep understanding and control over the models you create.
• • A significant part of your role will involve developing new ML methods, algorithms, and models. This requires a deep dive into both classical ML techniques and cutting-edge Deep Learning approaches, pushing the boundaries of what's possible with tabular data and large-scale models.
• • You will gain hands-on experience with ML infrastructure frameworks and tools, essential for managing complex research projects and enabling efficient experimentation. This includes working with powerful hardware like GPUs (or TPUs) and mastering distributed training techniques to handle massive datasets and model sizes.
• • Scaling up models and training regimes will be a core focus, preparing our research for production-level deployment and ensuring our solutions can handle the demands of Fortune 100 companies.
• • You will be expected to establish and maintain rigorous evaluation protocols, ensuring the reliability and effectiveness of our models. This involves defining metrics, designing experiments, and interpreting results to guide further research and development.
• • The role demands a strong understanding of the full research cycle in Machine Learning, from formulating hypotheses to conducting experiments and disseminating findings. This end-to-end perspective is critical for driving impactful research.
• • Furthermore, your contributions will be vital in ensuring our research code is not only functional but also robust, maintainable, and conducive to rapid iteration. This blend of research acumen and software engineering discipline is what sets Fundamental apart.
• • You will have the opportunity to work with foundational models, potentially including Large Language Models (LLMs) and other large-scale AI architectures, applying them to the unique challenges of structured enterprise data.
• • This position offers a unique chance to contribute to a company that is defining the future of enterprise AI, working alongside a team of world-class researchers and engineers dedicated to solving some of the most challenging problems in the field. Your work will have a tangible impact on how major global corporations make critical decisions.