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Mistral AI

AI Scientist - Palo Alto

Reposted 2 Days Ago
In-Office or Remote
Hiring Remotely in Palo Alto, CA
Mid level
In-Office or Remote
Hiring Remotely in Palo Alto, CA
Mid level
The AI Scientist will adapt large language models for human interaction, design annotation processes, and contribute to pre-training efforts.
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About Mistral

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

We are a dynamic, collaborative team passionate about AI and its potential to transform society.
Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.

Mistral AI are hiring experts in the role of pre-training and fine-tuning large language models.

What you will do

- Modifying pre-trained large language models to make them able to interact with humans
- Equipping large language models with the ability of calling external tools
- Aligning large language models based on feedback obtained during their deployment, or going through an ad-hoc annotation process
- Designing ad-hoc annotation processes themselves
- Participating to the pre-training effort.

About you

- High scientific understanding of the field of generative AI. This means a broad knowledge of the field of AI, and specific knowledge or interest in fine-tuning and using language models for applications
- High technical engineering competence. This means being able to design complex software and make them usable in production
- Be able to navigate the full MLOps technical stack, with a focus on architecture development and model evaluation and usage
- Occasionally be able to do front-end development, and have to use complex HPC infrastructure with full autonomy
- Hands-on experience with AI frameworks and tools (e.g., TensorFlow, PyTorch, Jax)
- Have experience working with large distributed systems
- Self-starter and autonomous 
- Low-ego 
- Collaborative and have a real team player mindset

Now, it would be ideal if you have;
- Audio/Speech experience - audio input/out, NLP etc

What We Offer

πŸ’° Competitive salary and bonus structure 
πŸš€ Generous Equity
πŸ§‘β€βš•οΈ Health : Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents)
πŸ‘΄πŸ» Pension : 401K (6% matching)
🏝️ PTO : 18 days 
πŸš— Transportation: Reimburse office parking charges, or $120/month for public transport
🀝 Coaching: we offer Betterup coaching on a voluntary basis
πŸ€ Sport: $120/month reimbursement for gym membership
πŸ₯• Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)
πŸͺͺ Visa sponsorship

Top Skills

Ai Frameworks
Jax
PyTorch
TensorFlow

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