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Ai Math Jobs in Seattle, WA (NOW HIRING)

Ring

AI Builder, Ring

Bellevue, WA · On-site

Ring is a company that builds with AI first, seeking an AI First Software Builder to create ... Mathematics, or a related field • Experience programming with at least one software programming ...

PitchBook

Manager, Engineering, AI & ML

Seattle, WA · On-site

Required : • Bachelor's in Computer Science, Mathematics, Data Science, or a related field • Minimum 6 years of experience in AI/ML engineering initiatives in NLP and GenAI • Minimum 3 years of ...

Lululemon

Staff AI/ML Applied Scientist

Seattle, WA · On-site

Bachelor's degree in computer science, mathematics, or related field; Master's or PhD preferred * 9-12 years of AI/ML research in industrial/corporate setting, or equivale research experience ...

Deloitte

Lead Generative AI Data Engineer III

Seattle, WA · On-site

$116K - $153K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ... Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ...

lululemon

Staff AI/ML Applied Scientist

Seattle, WA

... mathematics, or related field; Master's or PhD preferred 9-12 years of AI/ML research in industrial/corporate setting, or equivale research experience, including educational experience (e.g., a PhD ...

Nvidia

Senior Compiler Engineer - AI

Redmond, WA · On-site

$137K - $180K/yr

Strong mathematical and scientific foundation relevant to AI/ML and compiler technologies. * Hands-on experience with LLVM/MLIR-based compiler development, including optimization passes, code ...

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All JobsAi Math JobsAi Math Jobs in Seattle, WA

Ai Math information

See Seattle, WA salary details

$25.6K

$67K

$107.5K

How much do ai math jobs pay per year?

As of Jul 16, 2026, the average yearly pay for ai math in Seattle, WA is $66,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $79,700.00 per year, depending on experience, location, and employer.

What is the difference between Ai Math vs Data Analyst?

AspectAi MathData Analyst
Required CredentialsMathematics, Computer Science, AI certificationsStatistics, Data Analysis, Business Intelligence certifications
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness settings, consulting firms, corporate departments
Industry UsageAI development, machine learning projects, researchData interpretation, reporting, decision support

Ai Math professionals focus on developing algorithms and models using advanced mathematics and AI techniques, often working in research or tech environments. Data Analysts interpret data to provide insights and support business decisions. While both roles require analytical skills, Ai Math emphasizes algorithm creation and AI research, whereas Data Analysts focus on data visualization and reporting.

What is an AI Math specialist?

An AI Math specialist is a professional who applies advanced mathematical concepts and techniques to develop, analyze, and improve artificial intelligence algorithms and models. Their work often involves linear algebra, calculus, probability, statistics, and optimization methods to design effective machine learning and deep learning systems. AI Math specialists collaborate with data scientists, engineers, and researchers to solve complex problems, ensure model accuracy, and enhance the performance of AI-driven solutions.

How does an AI Math specialist typically collaborate with data scientists and software engineers within a project team?

AI Math specialists play a crucial role in multidisciplinary teams by developing mathematical models and algorithms that underpin AI solutions. They frequently work alongside data scientists to refine statistical methods, validate results, and optimize data processing techniques. Collaboration with software engineers is also common, as AI Math specialists help translate theoretical models into efficient, scalable code for production environments. This teamwork ensures that AI systems are both mathematically sound and technically robust, fostering innovation and effective problem-solving.

What are the key skills and qualifications needed to thrive as an AI Math Specialist, and why are they important?

To thrive as an AI Math Specialist, you need strong mathematical foundations in linear algebra, calculus, probability, and statistics, typically supported by a degree in mathematics, computer science, or a related field. Proficiency with programming languages like Python, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with data analysis tools are essential. Critical thinking, problem-solving, and effective collaboration are important soft skills for tackling complex challenges and working in interdisciplinary teams. These skills enable the development, implementation, and optimization of robust AI models and solutions.
What are popular job titles related to Ai Math jobs in Seattle, WA? For Ai Math jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Ai Math jobs in Seattle, WA look for? The top searched job categories for Ai Math jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Ai Math jobs? Cities near Seattle, WA with the most Ai Math job openings:
Ai Math jobs near you
Infographic showing various Ai Math job openings in Seattle, WA as of July 2026, with employment types broken down into 73% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $66,958 per year, or $32.2 per hour.

AI Staff Machine Learning Engineer, General AI, ML & Big Data

C-Serv

Seattle, WA • On-site

$63.50 - $84/hr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 8 days ago

Job description

About Opportunity

We are working with a global networking leader driving a fundamental shift in how businesses manage networks. There AI Core group pioneers' platforms across Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning - powering flagship products and enabling entirely new offerings. Innovation isn't just encouraged it's expected.

The Role

As one of our AI ML Engineer's, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.

What You'll Do

  • Define and drive the technical vision for ML solutions across products and platforms
  • Own the end-to-end software development lifecycle - from design and code reviews through to deployment and operations
  • Architect high-performance, scalable microservices, including synchronous and asynchronous web services
  • Build real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computing
  • Mentor engineers, set technical direction, and foster a strong team culture
  • Champion engineering excellence, system resilience, and continuous operational improvement

Requirements

Required Qualifications

  • Degree in Computer Science, Mathematics, or a related field
  • 5-10 years of full software development lifecycle experience (design, coding, testing, deployment, and operations)
  • 5-10 years of Python expertise, including advanced features and libraries
  • Strong experience designing RESTful APIs (e.g., FastAPI)
  • Proficiency with Docker, Kubernetes, and CI/CD pipelines
  • 3+ years designing and architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP)
  • Proven experience as a tech lead or engineering mentor

Preferred Qualifications

  • MS or PhD in Computer Science or ML
  • Hands-on experience with ML frameworks: PyTorch, SageMaker, Triton, or TensorRT
  • Familiarity with NoSQL and document databases
  • Track record of handling big data, optimising workflows, and improving system performance

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Training & Development

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