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Ai Math Jobs in Seattle, WA (NOW HIRING)

Lululemon

Applied AI/ML Scientist

Seattle, WA · On-site

Bachelor's degree in computer science, machine learning, mathematics, or related field, Masters preferred * 4-8 years of experience building and optimizing AI/ML solutions, or equivalent research ...

Workday

Principal AI Researcher

Seattle, WA · On-site

D. or Master's degree in Computer Science, Artificial Intelligence, Math, Physics, or equivalent ... Agentic AI Pioneer: Strong background in reinforcement learning, tool-use, or multi-agent systems.

lululemon

Applied AI/ML Scientist

Seattle, WA

... mathematics, or related field, Masters preferred 4-8 years of experience building and optimizing AI/ML solutions, or equivalent research experience, including educational experience (e.g., Master ...

Allen Institute

AI Research Scientist

Seattle, WA · On-site

AI Research Scientist The Allen Institute accelerates science for a healthier world through large ... PhD in Computer Science, Applied Mathematics, Statistics, Computational Biology, or a related field ...

Allen Institute

AI Research Scientist

Seattle, WA

AI Research Scientist The Allen Institute accelerates science for a healthier world through large ... PhD in Computer Science, Applied Mathematics, Statistics, Computational Biology, or a related field ...

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 ...

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 ...

Deloitte

Lead Generative AI Data Engineer III

Seattle, WA

$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 ...

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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 Aug 6, 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?

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 70% Full Time, 20% Part Time, and 10% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $66,958 per year, or $32.2 per hour.

Applied AI/ML Scientist

Lululemon

Seattle, WA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 27 days ago

Lululemon Athletica rating

7.5

Company rating: 7.5 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

9th of 104 rated fashion retailers

Job description

Description & Requirements
Who we are
lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. That includes creating an equitable, inclusive and growth-focused environment for our people.
About this team
The Enterprise Data & AI team is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and products that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, advanced analytics capabilities, and AI solutions across lululemon's vertically integrated retail ecosystem, embedding strong data governance and responsible AI practices from the very beginning. By applying AI to critical business challenges and creating new, transformative AI solutions, the team helps reshape how lululemon operates. Through deep partnership with product, technology, and business teams, Enterprise Data & AI accelerates product innovation, unlocks measurable value, elevates guest and educator experiences, and drives enterprise efficiency.
Core responsibilities
As an Applied AI/ML Scientist, you design, develop, test, and optimize AI/ML solutions that address defined business problems, with an emphasis on applied modeling, experimentation, and translating advanced AI research into scalable, production-ready solutions. You work independently to design and adapt AI/ML approaches to build prototypes, and improve model performance, reliability, and efficiency. You use domain knowledge and collaborate with stakeholders and product teams to map the business problem to the right model and AI/ML solution approach. You own the AI solution implementation and partner with engineering teams to integrate solutions into the broader engineering system. You contribute to solution enhancements, validate outcomes, and continuously improve models based on real world performance.
Examples of projects could be
  • Designing and deploying machine learning and predictive/generative AI models for demand forecasting, optimization, personalization and search, intelligent automation, and multimodal content creation and enrichment
  • Applying NLP, computer vision, multimodal, or time series modeling techniques to enterprise-scale datasets that are a mix of structured and unstructured data
  • Developing experimentation frameworks and evaluation approaches to measure business impact of AI solutions in production
  • Collaborating with product and engineering teams to embed AI models into end to end business workflows
Select responsibilities include:
  • Translate business challenges into AI/ML approaches by working with key SMEs and stakeholders to understand problems and map them to the right AI/ML solution approach.
  • Design experiments and establish success criteria aligned with business goals
  • Develop AI/ML solutions for complex business problems applying advanced techniques to deliver measurable business impact, building production-ready models, and ensuring solutions scale effectively
  • Develop prototypes and conduct rigorous experimentation, design evaluation plan to analyze model performance, and iterate to improve accuracy, generalization, interpretability, and business impact
  • Develop end-to-end working AI/ML solutions for assigned use cases from data ingestion through inference, and partner with AI/ML engineers and software engineers to ensure seamless integration into production workflows and processes
Qualifications
  • Bachelor's degree in computer science, machine learning, mathematics, or related field, Masters preferred
  • 4-8 years of experience building and optimizing AI/ML solutions, or equivalent research experience, including educational experience (e.g., Master's or PhD degree)
  • Demonstrated experience in evaluating and applying state-of-the-art AI/ML models and methods to develop practical, high-performing solutions to specific use-cases.
  • Experience designing AI/ML approaches, conducting experiments to evaluate performance, iterating on solution design to improve performance, and translating AI-ML driven insights into business goals
  • Proven ability to navigate technical complexity within assigned solutions including data transformation and preparation, model training and fine-tuning, latency constraints, and integration requirements within established architectural patterns
  • Experience with ML implementation using commonly used tools such as Python, pyTorch, cloud ML platforms and libraries, open-source toolkits.
Must haves
  • Acknowledge the presence of choice in every moment and take personal responsibility for your life.
  • Possess an entrepreneurial spirit and continuously innovate to achieve great results.
  • Communicate with honesty and kindness and create the space for others to do the same.
  • Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.
  • Foster connection by putting people first and building trusting relationships.
  • Integrate fun and joy as a way of being and working, aka doesn't take yourself too seriously.
additional notes
Please note: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of employment visa at this time for this role.
compensation and benefits package
lululemon's compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and teamperformance. Thetypical hiring range for this position is from$146,830-$192,720annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.
At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth:
  • Extended health and dental benefits, and mental health plans
  • Paid time off
  • Savings and retirement plan matching
  • Generous employee discount
  • Fitness & yoga classes
  • Parenthood top-up
  • Extensive catalog of development course offerings
  • People networks, mentorship programs, and leadership series (to name a few)
Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.
workplace arrangement
In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.
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