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AI Scientist - Palo Alto

Mistral AI

AI Scientist - Palo Alto

Mistral AI

Palo Alto

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

401(k)

Equity

Unlimited PTO

Commuter Benefits

Gym

Meal Stipend

Coaching

Visa Sponsorship

Healthcare

401k

Equity

Unlimited Pto

Commuter

Gym

Required Skills

Python

Software Engineering

Machine Learning

About Mistral

At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world.

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, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited.

At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit.

Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI.

What will you do

Research and develop novel methods to push the frontier of large language models
Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)
Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale
Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact

About you

You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)
You have hands-on experience with AI frameworks (e.g. Py Torch, JAX) or distributed systems (e.g. Ray, Kubernetes)
You have high engineering competence. This means being able to design complex software and make it usable in production
You are a self-starter, autonomous and a team player

Now, it would be ideal if

You have hands-on experience with training large transformer models in a distributed fashion
You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment
You have a strong publication record in a relevant scientific domain
Audio/Speech experience - audio input/out, NLP

Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity.

What We Offer:

💰 Competitive salary and bonus structure
🚀 Generous Equity
🧑‍⚕️ Health : Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents)
👴🏻 Pension : 401K (6% matching)
🏝️ PTO : 18 days
🚗 Transportation: Reimburse office parking charges, or $120/month for public transport
🤝 Coaching: we offer Betterup coaching on a voluntary basis
🏀 Sport: $120/month reimbursement for gym membership
🥕 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)
🪪 Visa sponsorship

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About Mistral AI

Mistral AI

Mistral AI

Series B

Mistral AI is a French artificial intelligence company that develops and provides large language models and AI solutions. The company focuses on creating efficient and powerful AI models for various applications.

51-200

Employees

Paris

Headquarters

$6.0B

Valuation

Reviews

4.2

2 reviews

Work Life Balance

3.5

Compensation

3.5

Culture

3.5

Career

3.5

Management

3.5

80%

Recommend to a Friend

Pros

European-based AI solution

Supports digital sovereignty

EU-based alternative to geofenced AI models

Cons

No specific cons mentioned

Limited feedback available

Insufficient review data

Salary Ranges

38 data points

Senior/L5

Senior/L5 · Solution Architect

1 reports

$241,500

total / year

Base

$210,000

Stock

-

Bonus

-

$241,500

$241,500

Interview Experience

7 interviews

Difficulty

3.6

/ 5

Duration

21-35 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Coding Round

4

ML Theory Assessment

5

LLM Systems/Design Interview

6

Project Deep Dive

7

Technical Interview

Common Questions

Coding/Algorithm

ML Theory

System Design

LLM Systems Design

Project Experience