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Mistral Jobs in California (NOW HIRING)

Mistral AI

Technical Support Expert

San Francisco, CA · On-site

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems-across high ...

Qualified Health

Applied AI Engineer

Palo Alto, CA · On-site

$180K - $250K/yr

Evaluate and integrate state-of-the-art LLMs (OpenAI, Anthropic, Mistral, etc.) into production use cases. * Contribute to building a scalable workflow infrastructure that will support 100+ workflows ...

Socket.dev

Software Engineer (Applied AI)

Cupertino, CA · On-site

$180 - $240/hr

We are looking for a Staff level Software Engineer with experience working with the latest LLM's from OpenAI, Anthropic, Gemini, Mistral, Llama etc. 'and custom fine-tuned models i.e(Defog, Nous ...

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Mistral information

See California salary details

$14.8K

$238.1K

$381.9K

How much do mistral jobs pay per year?

As of Aug 7, 2026, the average yearly pay for mistral in California is $238,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $197,400.00 and $296,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Mistral engineer?

To thrive as a Mistral Engineer, you need a solid background in software engineering, machine learning, and natural language processing, often supported by a degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, experience with distributed systems, and version control tools such as Git are typically required. Strong problem-solving skills, collaboration, and adaptability help individuals excel in this dynamic, innovative environment. These competencies are crucial for driving advancements in AI technology and delivering robust, scalable solutions.

What is a Mistral?

Mistral jobs refer to roles related to Mistral, which can indicate either a workflow orchestration service in IT or positions at Mistral AI, a company specializing in artificial intelligence and large language models. In the context of workflow orchestration, Mistral jobs involve creating, managing, and monitoring automated workflows, often in cloud or DevOps environments. At Mistral AI, jobs can include research, software engineering, and AI model development. Responsibilities usually focus on building scalable, efficient systems or advancing state-of-the-art machine learning technologies.

What is the difference between Mistral vs Data Scientist?

AspectMistralData Scientist
Required CredentialsTypically requires a background in engineering, physics, or related fields; certifications are optionalRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentOften works in research labs, tech companies, or startups focusing on AI and machine learningWorks in various industries including finance, healthcare, and tech, analyzing data to inform decisions
Employer & Industry UsageUsed mainly in AI research and development, especially in natural language processingWidely used across industries for data analysis, predictive modeling, and business insights

While both Mistral and Data Scientists work with advanced technology, Mistral typically focuses on AI research and development, often requiring a strong engineering background. Data Scientists analyze data to generate insights across industries. The roles overlap in technical skills but differ in focus and application.

What are some typical challenges faced by Mistral engineers when integrating AI models into production environments?

Mistral engineers often encounter challenges such as ensuring model scalability, managing latency, and maintaining robust security when deploying AI models into production. They must frequently collaborate with data scientists, DevOps, and product teams to fine-tune models, monitor real-world performance, and address unexpected behavior. Staying updated with rapid advancements in machine learning frameworks and cloud infrastructure is also crucial. Effective communication and agile problem-solving are key to overcoming these hurdles and delivering reliable AI solutions.
What are popular job titles related to Mistral jobs in California? For Mistral jobs in California, the most frequently searched job titles are:
What job categories do people searching Mistral jobs in California look for? The top searched job categories for Mistral jobs in California are:
What cities in California are hiring for Mistral jobs? Cities in California with the most Mistral job openings:
Mistral jobs near you
Infographic showing various Mistral job openings in California as of August 2026, with employment types broken down into 86% Full Time, 2% Part Time, 10% Contract, and 2% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $238,136 per year, or $114.5 per hour.

Applied AI, Forward Deployed Machine Learning Engineer

Mistral AI

Palo Alto, CA • On-site

Full-time

Medical, Retirement

Posted 24 days ago

Job description

About Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems-across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector-co-creating customized AI systems that they can run on their terms.
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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.
In this role, you'll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings.
What You Will Do
• You'll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.
• You'll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
• You'll individually help deploy into production use cases with a considerable business impact across various industries.
• You'll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning.
• You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
• Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers' feedback
What We're Looking For
• You are fluent in English
• You hold a PhD / master in AI / data science.
• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
• You have deep understanding of concepts and algorithms underlying machine learning and LLMs
• You're experienced with building and deploying LLMs or NLP applications
• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
• You have strong technical coding skills in Python
• You have experience with deep learning with Pytorch
• You have experience with agents framework such as Langchain, vector DBs
• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
Ideally you have:
• Contributed to open-source projects in particular in the space of LLMs
• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager
What We Offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
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