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Mistral Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Mistral information

See salary details

$15K

$241.3K

$387K

How much do mistral jobs pay per year?

As of Jun 5, 2026, the average yearly pay for mistral in the United States is $241,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $200,000.00 and $300,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Mistral Engineer, and why are they important?

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 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 Mistral jobs?

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.

More about Mistral jobs
What cities are hiring for Mistral jobs? Cities with the most Mistral job openings:
What states have the most Mistral jobs? States with the most job openings for Mistral jobs include:
Infographic showing various Mistral job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $241,295 per year, or $116 per hour.

Legal Tech & Ops Associate (IP & Licensing Business)

Mistral AI

Palo Alto, CA

Full-time

Posted 18 days ago


Job description

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 as well as personal needs. Our offerings include Le Chat, AI Studio, Mistral Code and Mistral Compute — a suite that brings frontier intelligence to end-users.
 
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. 
 
 
About the Role
 
We are seeking a tech-savvy Legal Tech Associate – IP & Licensing Ops to join Mistral AI’s IP and licensing team. In this role, you will be responsible for managing inbound licensing opportunities, maintaining patent and license databases, and leveraging Mistral AI tools to optimize patent operations and licensing and data partnership processes. You will work closely with the legal, product, and engineering teams to ensure efficient tracking, reporting, and support high-impact data partnership and licensing opportunities.
 
This role is ideal for someone who is passionate about legal tech, thrives in operational excellence, and wants to use AI to transform how IP and licensing operations are managed. If you love solving legal challenges with technology, analyzing data for strategic decisions, and driving operational excellence, this is the perfect opportunity at the intersection of law and AI. 
 
 
Key Responsibilities
 
Licensing & Data Partnerships
• Opportunity Tracking: Maintain and update databases of licensing and data partnership opportunities, tracking status, terms, and key stakeholders. 
• Data Analysis: Enrich licensing databases with metadata, deduplicate assets, evaluate content, identify sources, and ensure accuracy using AI, SQL, Python, or/and BI tools.
• Partner Onboarding: Verify legitimacy of new data and licensing partners through business checks. Ensure completion of required agreements and compliance forms.
 
Patent Operations Management
• Filing Status Tracking: Monitor patent filings, deadlines, and portfolio metrics using dashboards and automated tools.
• Process Optimization: Automate patent operations and improve data accuracy using Mistral AI’s tools and external platforms.
 
Cross-Functional Collaboration
• Stakeholder Alignment: Coordinate with legal, product, and engineering teams to align IP and licensing processes, including documentation, deadlines, and communication.
• Inventor Workflows: Assist inventors with workflows for invention intake, recognition, and documentation in Notion, Slack, and HR systems. 
 
 
Required Qualifications and Skills 
 
Experience: 3+ years in IP operations, licensing, or a related field, with a focus on data management, process improvement, and operational support.
Technical Proficiency: Strong skills in database management, data analysis, and dashboard creation (e.g., Slack, Notion, Workflows, Excel/G-sheets, SQL, or BI tools).
Attention to Detail: Ability to manage complex datasets, identify discrepancies, and ensure accuracy in reporting.
Communication: Excellent written and verbal communication skills in English, with the ability to collaborate across teams. 
Tool Savvy: Experience with IP management software, docketing systems, or similar tools. Familiarity with AI/ML concepts is a plus. 
Adaptability: Comfortable working in a fast-paced, evolving environment with a proactive and solution-oriented mindset. 
International Mindset: Experience in a global or multicultural setting is a plus. 
 
 
Nice-to-Have Skills
 
Familiarity with patent prosecution workflows and IP portfolio management.
Experience with AI-driven legal tech solutions.
Background in data science, competitive intelligence, or business analytics.
 
 
Benefits
 
\uD83D\uDCB0 Competitive cash salary and equity
\uD83E\uDD55 Daily lunch vouchers
\uD83E\uDD4E Monthly contribution to a Gympass subscription
\uD83D\uDEB4 Monthly contribution to a mobility pass
\uD83E\uDDD1‍⚕️ Full health insurance for you and your family
\uD83C\uDF7C Generous parental leave policy
\uD83C\uDF0E Visa sponsorship
 
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