ML Researcher
Fundamental· Research
BarcelonaFull-timePosted 4mo ago
About the role
ML research role focused on ideation, design, implementation, and evaluation of machine learning models across the full lifecycle, with emphasis on robust engineering to enable rapid development and testing of ideas in a production-ready research environment.
Responsibilities
- As part of the Research team, contribute to ideation, designing, implementing, and evaluating breakthrough Machine Learning models that will be deployed in the real world.
- Work on the entire lifecycle of the models, including achieving high evaluation scores through novel architectures and training methods, establishing evaluation protocols, and implementing methods for efficient training and inference.
- Ensure research code enables swift, rapid development and testing of new ideas, both your own and the rest of the team.
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 developing new ML methods, algorithms and models
- Experience with GPUs (or TPUs) and distributed training
- Experience scaling up models and training regimes
- Knowledge of classical ML methods and algorithms
- Knowledge of Deep Learning techniques
- Expertise in at least one of: tabular models, time series models, relational foundation models, structured data, large-scale foundation models
Skills
Required:Full research cycle in MLSoftware engineering fundamentalsPython and ML frameworksAI model development lifecycleML infrastructure toolsNew ML methods and modelsGPUs/TPUs and distributed trainingScaling models and trainingClassical ML methodsDeep LearningDomain expertise in one area
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
- A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action
Last updated Oct 6, 2026. Interested? Apply on the company site.
About Fundamental
The Power to Predict
The Power to Predict. Our most powerful Large Tabular Model. Pre-trained on billions of real-world enterprise tables, our model knows which patterns drive which outcomes.
NEXUSOur World’s Most Powerful Large Tabular ModelPre-trained on billions of real-world enterprise tablesEnterprise AIData AnalyticsTime SeriesConfidential ComputingCloud
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