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

GE HealthCare

AI Scientist

Bellevue, WA · On-site

D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ... AI training. • An in-depth understanding of machine learning algorithms and modeling (e.g., semi ...

Amazon

SDE, AI Infrastructure, AFT AI

Bellevue, WA · On-site

$195K - $231K/yr

Design and Develop end-to-end training and inference pipelines to accelerate agentic AI model ... Mathematics, or a related field - Experience programming with at least one software programming ...

Deloitte

Finance Analytics & AI Manager

Seattle, WA

Bachelor's degree in a science, technology, engineering, or mathematics field from an accredited ... and training; licensure and certifications; and other business and organizational needs. The ...

Workday

Principal AI Researcher

Seattle, WA

Advance Workday's proprietary capabilities in pre-training, post-training (RLHF, DPO), and domain ... D. or Master's degree in Computer Science, Artificial Intelligence, Math, Physics, or equivalent ...

lululemon

Applied AI/ML Scientist

Seattle, WA · On-site

Who we are lululemon is an innovative performance apparel company for yoga, running, training, and ... mathematics, or related field, Masters preferred 4-8 years of experience building and optimizing AI ...

Deloitte

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 ...

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All JobsAi Math Training JobsAi Math Training Jobs in Seattle, WA

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 Jul 12, 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 job?

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:
Ai Math Training jobs near you
Infographic showing various Ai Math Training 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 $63,008 per year, or $30.3 per hour.
AI Scientist

AI Scientist

GE HealthCare

Bellevue, WA • On-site

Full-time

Re-posted 6 days ago

GE HealthCare rating

8.4

Company rating: 8.4 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

80th of 430 rated machine equipment manufacturers

Job description

Job Summary:
GE HealthCare is committed to bringing AI and cloud-based solutions for customers in the healthcare sector. The AI Scientist will work on developing and deploying modern machine learning methods to analyze large healthcare data sets and improve clinical tasks automation.
Responsibilities:
• Developing and implementing novel machine learning algorithms particularly in the area of LLM to provide automation of clinical tasks using one or more of electronic medical records, waveforms, and clinical reports.
• Demonstrating algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation.
• Exploring learning from human feedback and assisting humans evaluating AI.
• Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.
• Working with large-scale datasets, designing, and developing generative algorithms.
• Staying current on published state-of-the-art algorithms and competing technologies.
Qualifications:
Required:
• Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 3 years of relevant research OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 years of relevant research.
• Publications as first author on LLM, Agentic AI or self supervised learning (SSL).
• Demonstrated expertise in building large scale AI such as generative AI models.
• Implementation experience with a variety of high-level languages (e.g. Python, C++)
• Experience with high-dimensional imaging data and waveform/time-series data.
Preferred:
• Experience and demonstrated capability to handle challenges with vague or abstract problem definition.
• Experience with frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc.
• Experience with various MLOps, ModelOps, FMOps (Foundation Model Ops) methods.
• Experience working with large scale AI training.
• An in-depth understanding of machine learning algorithms and modeling (e.g., semi-supervised or weakly supervised learning, generative models, transfer learning, optimization, large language models, etc.)
• Track record in developing machine learning solutions using massive real-world data for solving real world business problems.
• In depth experience with Spark/Hadoop and either PyTorch/Tensorflow
• Experience creating production environment data analytics and applications
Company:
Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence. Founded in 1989, the company is headquartered in Oslo, NOR, with a team of 10001+ employees. The company is currently Late Stage.

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