Jobs
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
Series BMistral 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
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