Applied Scientist - Research Engineer (Tabular Data), EMEA

Highlights

• Design and deploy SOTA models that query and reason over structured data.
• Pre-train models on clusters with thousands of GPUs for tabular use cases.
• Build benchmarks for table understanding, text-to-SQL and prediction.

What they offer

• Healthcare coverage
• Parental leave
• Retirement plans
• Relocation support
• Wellness programs
• Meal and transportation allowances

Ideal candidate

Low-ego, collaborative builder who moves independently through uncertainty and loves turning messy real-world tabular problems into high-impact AI solutions with clients.

Requirements

• Fluent in English with excellent communication skills
• Expert with PyTorch or JAX
• Experience training or fine-tuning large language models or tabular foundation models (e.g. TabPFN)
• Strong background in machine learning on tabular data including classical baselines (e.g. gradient boosting)
• Comfortable with SQL, pandas, and messy real-world data
• Able to contribute to a large codebase independently with little guidance
• Writes clean, readable, high-performance, fault-tolerant Python code
• Moves independently and navigates uncertainty with confidence
• Low-ego, collaborative and eager to learn
• Track record of success through personal, professional or academic projects