Applied Scientist, Tabular AI & Data Systems (EMEA)

AItoolnavio

Paris

Hybrid

EUR 90,000 - 150,000

Full time

4 days ago
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Benefits offered by this job

Healthcare coverage
Parental leave
Retirement plans
Relocation support
Wellness programs

Job summary

Mistral AI is seeking Applied Scientists and Research Engineers focused on tabular data to design, train, and deploy SOTA models that understand, query, and reason over structured data. You will work across external and internal teams to deliver high-impact AI solutions with researchers, engineers and product builders.

You will join a collaborative, distributed team that tackles complex real-world problems in finance, manufacturing, defense, healthcare and more.

Qualifications

  • Fluent in English and able to explain complex concepts clearly.
  • Expert with PyTorch or JAX.
  • Experience training or fine-tuning LLMs or tabular foundation models.

Responsibilities

  • Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs.
  • Generate and curate datasets of tables, spreadsheets and databases, and build evaluators and benchmarks for table understanding, text-to-SQL, and prediction on tabular data.
  • Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
  • Collaborate with cross-functional teams to tackle complex use cases.
  • Manage research projects and communications with client research teams.

Skills

PyTorch
JAX
Tabular ML
SQL
Pandas
Python
English communication

Education

PhD or Master in CS/Statistics/ML

Job description

Mistral AI is seeking Applied Scientists and Research Engineers focused on tabular data to design, train, and deploy SOTA models that understand, query, and reason over structured data. You will work across external and internal teams to deliver high-impact AI solutions with researchers, engineers and product builders.

You will join a collaborative, distributed team that tackles complex real-world problems in finance, manufacturing, defense, healthcare and more.

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