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Ai Math Training Jobs in Seattle, WA (NOW HIRING)

Lead Generative AI Data Engineer III

Seattle, WA · On-site

$116K - $153K/yr

Develop and oversee data pipelines, model training workflows, and production-grade application ... Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

... training, and other athletic pursuits. Setting the bar in technical fabrics and functional design ... Bachelor's degree in computer science, mathematics, or related field; Master's or PhD preferred * 9 ...

Who we are lululemon is an innovative performance apparel company for yoga, running, training, and ... mathematics, or related field; Master's or PhD preferred 9-12 years of AI/ML research in industrial ...

... and model training pipelines that power our production systems • Rethink our risk and ... science, statistics, mathematics, or a related quantitative field • Solid foundation in ...

Principal AI/ML Autonomy Engineer

Kent, WA · On-site

$230.77 - $323.08/hr

... training, compression and quantization, hardware-aware optimization, and on-target validation ... S. in Computer Science, Electrical/Computer Engineering, Applied Mathematics, or a related ...

Senior Financial Analyst, Applied AI

Kirkland, WA · On-site

$97K - $121K/yr

The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And ... education or training. US: $141000 - $206000 (USD) 15% bonus target equity benefits Learn more ...

Applied Scientist AI/ML

Seattle, WA · On-site

$156K - $355K/yr

Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative ... Improve the feature engineering and model training pipelines that power our production systems

Showing results 21-40

Ai Math Training information

See Seattle, WA salary details

$26.2K

$63K

$89.9K

How much do ai math training jobs pay per year?

As of Aug 13, 2026, the average yearly pay for ai math training in Seattle, WA is $63,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $70,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced in an ai math training role?

One of the main challenges in an AI Math Training position is translating complex mathematical theories into practical algorithms that can be efficiently implemented in machine learning models. You may also encounter difficulties when training models on large datasets, balancing computational resources with accuracy, and ensuring models generalize well to unseen data. Collaboration with data scientists, engineers, and domain experts is frequent, requiring strong teamwork and communication skills. Staying current with rapidly evolving AI and mathematical techniques is essential for success and ongoing career development in this field.

What are the key skills and qualifications needed to thrive in the ai math training position, and why are they important?

To thrive in an AI Math Training role, you need a strong background in mathematics, statistics, and machine learning, often supported by a degree in mathematics, computer science, or a related field. Experience with programming languages (such as Python or R), deep learning frameworks (like TensorFlow or PyTorch), and relevant AI or data science certifications are typically required. Strong analytical thinking, clear communication, and problem-solving abilities help in conveying complex concepts and collaborating with diverse teams. These skills are essential for effectively developing and training AI models that rely on advanced mathematical principles and for communicating technical findings to both technical and non-technical stakeholders.

What is an ai math training?

An AI Math Training job involves developing, refining, and optimizing mathematical models used in artificial intelligence systems. This role often includes curating datasets, training AI algorithms, and ensuring mathematical accuracy in machine learning models. Professionals in this field typically have expertise in linear algebra, calculus, statistics, and optimization techniques. They work closely with data scientists and engineers to improve AI efficiency and reliability.

What are the most commonly searched types of Ai Math Training jobs in Seattle, WA?

The most popular types of Ai Math Training jobs in Seattle, WA are:

What are popular job titles related to Ai Math Training jobs in Seattle, WA?

For Ai Math Training jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Ai Math Training jobs in Seattle, WA look for?

The top searched job categories for Ai Math Training jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Ai Math Training jobs?

Cities near Seattle, WA with the most Ai Math Training job openings:

Infographic showing various Ai Math Training job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $63,008 per year, or $30.3 per hour.

Lead Generative AI Data Engineer III

Deloitte

Seattle, WA • On-site

$116K - $153K/yr

Full-time

Re-posted 28 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description


Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a Lead AI and Data Science Engineer II on the team, you will be responsible for:

  • Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
  • Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.
  • Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products.
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
  • Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability.
Skills for Success
  • Ability to work independently and collaborate as part of a team.
  • Effective written and verbal communication skills.
  • Meticulous attention to detail and quality of work product.
  • Ability to build and sustain professional relationships.
  • Ability to lead projects or workstreams.
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
  • Strong interpersonal skills and professional demeanor.
  • Ability to meet deadlines.
  • Ability to mentor and provide clear guidance to others.
The Team

Deloitte's Government & Public Services (GPS) practice-our people, ideas, technology, and outcomes-is designed for impact. Serving federal, state, and local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • 7+ years of professional experience.
  • 5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
  • 3+ years of experience programming in Python, Pyspark, Pytorch, and Tensorflow.
  • 2+ years of technology consulting experience in the State Government or Local Government space.
  • 2+ years of experience leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery.
  • 1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.
  • Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred
  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • Active US Government security clearance.
  • 2+ years of experience deploying machine learning models into production environments.
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions.
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes.
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes.

The wage range for this role takes into account a wide range of factors considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.

At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $159,100 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

ai&e fy27 profile

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a Lead AI and Data Science Engineer II on the team, you will be responsible for:

  • Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
  • Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.
  • Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products.
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
  • Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability.
Skills for Success
  • Ability to work independently and collaborate as part of a team.
  • Effective written and verbal communication skills.
  • Meticulous attention to detail and quality of work product.
  • Ability to build and sustain professional relationships.
  • Ability to lead projects or workstreams.
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
  • Strong interpersonal skills and professional demeanor.
  • Ability to meet deadlines.
  • Ability to mentor and provide clear guidance to others.
The Team

Deloitte's Government & Public Services (GPS) practice-our people, ideas, technology, and outcomes-is designed for impact. Serving federal, state, and local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • 7+ years of professional experience.
  • 5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
  • 3+ years of experience programming in Python, Pyspark, Pytorch, and Tensorflow.
  • 2+ years of technology consulting experience in the State Government or Local Government space.
  • 2+ years of experience leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery.
  • 1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.
  • Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred
  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • Active US Government security clearance.
  • 2+ years of experience deploying machine learning models into production environments.
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions.
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes.
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes.

The wage range for this role takes into account a wide range of factors considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.

At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $159,100 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

ai&e fy27 profile

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