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Mistral Jobs in Seattle, WA (NOW HIRING)

Pwc

AI Engineer

Seattle, WA · On-site

$50K - $112K/yr

... Mistral, and Gemma, for local and cloud deployment using quantization, inference acceleration, and model-routing techniques - Designing agent harnesses and implementing context engineering, memory ...

Geico

Staff Machine Learning Engineer

Seattle, WA

$130K - $260K/yr

... Mistral, Claude etc. to build conversational experiences and/or agentic workflows Annual Salary $130,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are ...

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All JobsMistral JobsMistral Jobs in Seattle, WA

Mistral information

See Seattle, WA salary details

$17.1K

$274.6K

$440.4K

How much do mistral jobs pay per year?

As of Aug 17, 2026, the average yearly pay for mistral in Seattle, WA is $274,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $227,600.00 and $341,400.00 per year, depending on experience, location, and employer.

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 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 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 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 is it like to work at Mistral?

Working as a Mistral involves engaging in roles that may require technical skills, teamwork, and adherence to safety protocols. Employees often work in collaborative environments with a focus on efficiency and quality, and may need to be adaptable to changing project demands or schedules.

What are popular job titles related to Mistral jobs in Seattle, WA?

For Mistral jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Mistral jobs in Seattle, WA look for?

The top searched job categories for Mistral jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Mistral jobs?

Cities near Seattle, WA with the most Mistral job openings:

Mistral jobs near you
Infographic showing various Mistral job openings in Seattle, WA as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $274,596 per year, or $132 per hour.

Data Scientist - Seattle, WA Onsite

Kanak Elite Services Inc

Seattle, WA • On-site

Contractor

Re-posted 21 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Data Scientist with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : Data Scientist with Generative AI (with AI , ML, and LLM – not ML Ops)

Location          : Seattle, WA Onsite (as well as final in-person interview – no exceptions) NEED LOCAL HERE

Duration         : Twelve months contract, will extend

Interview Will be:

  1. One tech round (including 45-60 minute GenAI coding challenge) - teams
  2. One round with the account manager – team – 5-10 mins – culture fit
  3. One round with client – teams – culture fit
  4. Final meet and greet (not technically an interview) w the buyer – onsite, no exceptions

Description

    1. Build and deploy Generative AI solutions using Amazon Bedrock, SageMaker, and other AWS AI/ML services.
    2. Evaluate and integrate foundation models (Claude, Titan, Mistral, LLaMA, etc.) available in Bedrock for enterprise use cases (chatbots, summarization, RAG, etc.).
    3. Fine-tune and prompt engineer large language models (LLMs) for domain-specific needs.
    4. Work on GenAI pipelines: data preprocessing, prompt tuning, retrieval augmentation (RAG), and model evaluation.
    5. Optimize cost and performance of GenAI workloads in the AWS ecosystem.
    6. Collaborate with product and data teams to design AI-driven applications.