Multimodal AI Scientist & Research Engineer - Equity

Mistral

Singapore

On-site

SGD 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Health Insurance
Equity
Gym membership allowance
Meal allowance
Public transport allowance

Job summary

Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex projects. You will develop SOTA models across text, image, and speech, applying novel methods to diverse use cases while working with internal and client teams to deliver high-impact AI solutions.

Join a dynamic, distributed team contributing to cutting-edge research, with opportunities to publish and influence product direction.

Qualifications

  • Fluent in English with excellent communication skills.
  • Expert with PyTorch or JAX and strong Python programming.
  • Able to contribute to a large codebase with minimal guidance.
  • Proven track record from personal projects, research, or academia.
  • Experience with data generation, model evaluation and deployment.

Responsibilities

  • Run pre-training, post-training and deploy state-of-the-art models on large GPU clusters.
  • Generate and curate data for pre-training and evaluation, ensuring strong performance.
  • Develop tools and frameworks for data generation, training, evaluation and deployment.
  • Collaborate with cross-functional teams on complex use cases using agents and RAG pipelines.
  • Manage research projects and communicate with client research teams.

Skills

PyTorch
JAX
Python
Independent worker
Communication

Education

PhD or Master in ML/Math/Physics

Tools

CI pipelines
Open source contributions

Job description

Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex projects. You will develop SOTA models across text, image, and speech, applying novel methods to diverse use cases while working with internal and client teams to deliver high-impact AI solutions.

Join a dynamic, distributed team contributing to cutting-edge research, with opportunities to publish and influence product direction.

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