ML Researcher
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Requirements
- Strong familiarity with the full research cycle in Machine Learning
- Strong fundamentals of software engineering
- Strong knowledge of Python, and its ML frameworks
- Experience with:
- Full lifecycle of AI model development
- ML infrastructure frameworks and tools
- Developing new ML methods, algorithms and models
- GPUs (or TPUs) and distributed training
- Scaling up models and training regimes
- Knowledge of:
- Classical ML methods and algorithms
- Deep Learning techniques
- Expertise within one of the following areas is a strong bonus: Architecture Research, Distillation (Model Compression), Evaluation, Code Generation, LLMs
- Experience with foundational models, e.g. LLMs
- Published research at AI conferences
- Contributions to open source ML projects
- Experience working with tabular data / predictive analytics
- High Kaggle rank
- BSc/MSc/PhD in computer science/machine learning
Benefits
Additional Information
About Fundamental Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS - the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict. At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.
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