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Mistral Salary Jobs (NOW HIRING)

Capital Rx

Senior Applied AI/ML Scientist

Charlotte, NC · On-site

$180K - $225K/yr

... GPT-x, Mistral etc. * Experience with open-source LLM platforms and training stack (e.g ... New York, NY Salary Range $180,400--$225,500 USD Denver, CO Salary Range $165,600--$207,000 USD ...

DV Trading

Senior AI Engineer

Chicago, IL · On-site

$200K - $300K/yr

Fine-tune and evaluate open-weight models (Llama, Qwen, Mistral, or similar) for DV-specific tasks ... Base Salary Range $200,000-$300,000 USD

DV Trading

Senior AI Engineer

Chicago, IL

$200K - $300K/yr

Fine-tune and evaluate open-weight models (Llama, Qwen, Mistral, or similar) for DV-specific tasks ... Base Salary Range $200,000--$300,000 USD

Geico

Staff Machine Learning Engineer

Seattle, WA · On-site

$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 ...

Geico

Staff Machine Learning Engineer

Palo Alto, CA · On-site

$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 ...

Capital Rx

Senior Applied AI/ML Scientist

Manhattan, NY · On-site

$180K - $225K/yr

... GPT-x, Mistral etc. * Experience with open-source LLM platforms and training stack (e.g ... New York, NY Salary Range $180,400--$225,500 USD Denver, CO Salary Range $165,600--$207,000 USD ...

GEICO

Staff Machine Learning Engineer

Palo Alto, CA · On-site

$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 ...

Capital Rx

Senior Applied AI/ML Scientist

Denver, CO · On-site

$180K - $225K/yr

... GPT-x, Mistral etc. * Experience with open-source LLM platforms and training stack (e.g ... New York, NY Salary Range $180,400--$225,500 USD Denver, CO Salary Range $165,600--$207,000 USD ...

Aumni

Applied AI/ML - Vice President

Wilmington, DE · On-site

$120 - $160/hr

Expert in Large Language models (OpenAI, Anthropic, Mistral, etc) including fine‑tuning models ... We offer a competitive total rewards package including base salary determined based on the role ...

NIO

Sr/Staff AI Infrastructure Engineer

San Jose, CA · On-site

$163K - $212K/yr

Understanding of hardware acceleration(Stable Diffusion, SAM, Mistral, Groq, etc) * Familiar with ... The US base salary range for this full-time position is $163,500.00 - $212,400.00. * Within the ...

NIO

Sr/Staff AI Infrastructure Engineer

San Jose, CA · On-site

$163K - $212K/yr

Understanding of hardware acceleration(Stable Diffusion, SAM, Mistral, Groq, etc) * Familiar with ... The US base salary range for this full-time position is $163,500.00 - $212,400.00. * Within the ...

Orrick, Herrington & Sutcliffe LLP

NY · On-site

$310 - $390/hr

... Deel, Mistral, Stripe, as well as investors including Atomico, Bessemer, Coatue Management ... Compensation and Benefits The expected salary range for this position is between $310,000 and $390 ...

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Showing results 21-40

All JobsMistral Salary Jobs

Mistral Salary information

See salary details

$15K

$241.3K

$387K

How much do mistral salary jobs pay per year?

As of Aug 10, 2026, the average yearly pay for mistral salary 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 is the difference between Mistral Salary vs Data Analyst Salary?

AspectMistral SalaryData Analyst Salary
Required CredentialsRelevant certifications, technical skillsDegree in statistics, data science, or related field
Work EnvironmentManufacturing, engineering, or technical settingsBusiness, finance, or tech industries
Employer & Industry UsageUsed in technical and industrial sectorsCommon in corporate, finance, and tech sectors

The comparison shows that Mistral Salary and Data Analyst Salary often require similar technical skills and certifications. However, Mistral Salary roles are typically found in manufacturing or engineering environments, while Data Analyst roles are prevalent in business and finance sectors. Understanding these differences helps job seekers target the right roles based on their skills and industry preferences.

More about Mistral Salary jobs
What cities are hiring for Mistral Salary jobs? Cities with the most Mistral Salary job openings:
What states have the most Mistral Salary jobs? States with the most job openings for Mistral Salary jobs include:
What job categories do people searching Mistral Salary jobs look for? The top searched job categories for Mistral Salary jobs are:
Mistral Salary jobs near you
Infographic showing various Mistral Salary job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $241,295 per year, or $116 per hour.

Founding Member of Technical Staff - Post Training

Architect Silicon, Inc.

Palo Alto, CA • On-site

$78 - $94/hr

Full-time

Re-posted 13 days ago

Job description

About Architect
Architect is a frontier AI research and product lab for chip design. We build AI models and systems that can explore, design, optimize, and verify new hardware. Our goal is to reimagine chip design using AI, cut down ASIC design time and cost, and enable a new era of ultra-efficient, domain-specific chips powering the future of computation.
Born out of Stanford, our team blends researchers and engineers from Anthropic, Google DeepMind, NVIDIA, Meta SuperIntelligence Labs, Apple, and Intel. Backed by leading VCs and angels, including the Chief Scientist at Google, Stanford professors, and founders of chip companies, Architect currently operates in stealth, pushing the limits of AI4EDA and building the intelligence layer for the hardware revolution.
What You'll Do
As a Founding Member of the Technical Staff (RL) at Architect, you'll be at the forefront of post-training the AI models for chip design tasks like RTL code generation, verification, and architectural exploration.
  • Responsible for co-designing and implementing the Reinforcement Learning environments and algorithms, Reward Models trainings and reward signal experiments.
  • You will work at the intersection of cutting-edge research and production engineering for chip designs, implementing, scaling, and improving post-training techniques to enhance model capabilities and usability .
  • Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation, ensuring that theoretical performance translates into production-ready implementations.
  • This is a hands-on, 0→1 role where you'll own the end-to-end RL workflow-from reward modeling and environment design to test-time optimization and scaling.
  • Collaborate with research teams to translate emerging techniques into production-ready implementations and debug complex issues in training pipelines and model behavior.

What We'd Like to See
Qualifications & Skills:
  • Degree: PhD in Computer Science, EECS, Mathematics, or a closely related field. Preferably, specialization in Machine Learning, Deep Learning, or Artificial Intelligence. Or BS/MS with a strong research engineering background.
  • RL & Post-Training Expertise: Deep expertise in reinforcement learning and post-training, with a proven track record of taking models from research to real-world deployment.
  • Model Training: Strong industry or research background building end-to-end ML pipelines. Experience RL and fine-tuning LLMs and code models for reasoning, tool use, and structured coding tasks.
  • Systems Engineering: Strong software engineering skills with experience building complex ML systems. Comfortable working with large-scale distributed systems, high-performance computing, and distributed training frameworks (e.g., PyTorch, CUDA, QLoRA, ZeRO).
  • Engineering Rigor: Adept at analyzing and debugging model training processes. Capable of balancing research exploration with engineering rigor and operational reliability.
  • Execution: Fast-moving builder who can prototype, benchmark, and productionize training pipelines with tight feedback loops.

Bonus:
  • Worked on the post-training team at frontier labs like OpenAI, Anthropic, DeepMind, Mistral, MSL, Cohere, etc.
  • Foundation in Electrical/Computer Engineering and chip-design or verification processes (not required, but a plus).
  • Publications in top ML (NeurIPS, ICLR, ICML) or EDA (DAC, ICCAD, DVCon) venues.
  • Experience as a Founding ML Engineer/Researcher or early hire at an AI deeptech startup.

What We Offer
  • Competitive salary and meaningful equity stake
  • Fast-paced startup with autonomy and visible impact
  • Cutting-edge AI-driven chip design challenges

Apply