Fundamental
ML Researcher (remote)
Europe, Remote. Posted a month ago
The role
You will contribute to ideation, designing, implementing, and evaluating breakthrough Machine Learning models. The work focuses on the entire lifecycle of models and ensuring research code allows for rapid development and testing.
What you will do
- Contribute to ideation, designing, implementing, and evaluating breakthrough Machine Learning models
- Achieve high evaluation scores through novel architectures and training methods
- Establish evaluation protocols
- Implement methods for efficient training and inference
- Ensure research code allows swift, rapid development and testing of new ideas
Required qualifications
- 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
- Experience with ML infrastructure frameworks and tools
- Experience with developing new ML methods, algorithms and models
- Experience with GPUs (or TPUs) and distributed training
- Experience with scaling up models and training regimes
- Knowledge of classical ML methods and algorithms
- Knowledge of Deep Learning techniques
- Expertise in at least one of the following: Tabular models, time series models, relational foundation models, structured data, large-scale foundation models
Nice to have
- 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
- Competitive compensation with salary and equity
- Comprehensive health coverage for you and your dependents
- Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
- Relocation support for employees moving to join the team in one of our office locations
About the company
Fundamental is an AI research lab pioneering the future of enterprise decision-making. Their flagship model, NEXUS, is a Large Tabular Model built for structured records.