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Machine Learning Scientist Jobs in Seattle, WA (NOW HIRING)

Red Violet, Inc.

Applied Scientist, AI

Seattle, WA · On-site

$195K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Apply advanced machine learning techniques to analyze large and complex datasets, extract ... Master's degree in Computer Science, Artificial Intelligence, or a related field with a focus on ...

Unchain Data

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

  • Medical

  • Life

  • Retirement

  • PTO

Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Present results to ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Undergraduate or graduate degree in computer science or similar technical field * 4+ years experience as a machine learning engineer, with experience in training large deep learning models and ...

Hive

Machine Learning Manager

Seattle, WA

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Undergraduate or graduate degree in computer science or similar technical field * 4+ years experience as a machine learning engineer, with experience in training large deep learning models and ...

PitchBook Data

Machine Learning Engineer

Seattle, WA

  • Medical

  • Life

  • Retirement

Bachelor's degree in Computer Science, Mathematics, Data Science, or related technical field, advanced degrees are preferred * 2+ years of experience in software engineering or machine learning ...

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Machine Learning, Systems, or a related field * Strong foundation in machine learning systems, distributed systems, or large-scale data processing (through ...

Apple

Machine Learning Engineer - Health AIML

Seattle, WA

$205K - $374K/yr

  • Medical

  • Dental

  • Retirement

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

  • Medical

  • Dental

  • Vision

  • PTO

You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics * You have 1-2 years industry machine learning ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

  • Medical

  • Dental

  • Vision

  • PTO

You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics * You have 1-2 years industry machine learning ...

Capital-Group-1

Machine Learning Engineer II

Seattle, WA · On-site

$159 - $255/hr

  • Medical

  • Life

  • Retirement

In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production ...

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Showing results 41-60

All JobsMachine Learning Scientist JobsMachine Learning Scientist Jobs in Seattle, WA

Machine Learning Scientist information

See Seattle, WA salary details

$85K

$154.1K

$215.9K

How much do machine learning scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning scientist in Seattle, WA is $154,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,665.00 and $171,546.00 per year, depending on experience, location, and employer.

What is a machine learning scientist?

A Machine Learning Scientist researches, develops, and applies machine learning models to solve complex problems. They work on designing algorithms, improving model performance, and analyzing large datasets to extract valuable insights. Their role often involves experimenting with new techniques, optimizing existing models, and collaborating with engineers and data scientists to deploy solutions. Machine Learning Scientists typically have expertise in statistics, mathematics, and programming languages like Python. They work in industries such as healthcare, finance, and technology to drive innovation using artificial intelligence.

What does a machine learning scientist do?

A typical day for a Machine Learning Scientist involves collecting and analyzing large datasets, designing and training machine learning models, and evaluating model performance to ensure accuracy and reliability. You'll often collaborate with data engineers, software developers, and domain experts to define project goals, prepare data, and integrate solutions into production systems. Regular team meetings, code reviews, and brainstorming sessions are common, fostering an environment of shared learning and problem-solving. This collaborative structure not only enhances project outcomes but also offers valuable opportunities for continuous professional growth and skill development.

What skills and qualifications are needed to be a machine learning scientist?

To thrive as a Machine Learning Scientist, you need strong skills in mathematics, statistics, programming (typically in Python or R), and a graduate degree in computer science, data science, or a related field. Expertise in machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), proficiency with data processing tools, and experience with cloud platforms (like AWS or GCP) are commonly required; certifications in these can be advantageous. Critical thinking, problem-solving, and effective communication are important soft skills for collaborating with cross-functional teams and conveying complex concepts. These abilities enable Machine Learning Scientists to build effective models, deliver actionable insights, and drive innovation within organizations.

Is machine learning a high paying job?

Machine Learning Scientists typically earn high salaries due to the specialized skills required, such as programming, statistical analysis, and experience with tools like Python and TensorFlow. Salaries vary by industry, experience, and location but are generally above average compared to many other tech roles.

What are the most commonly searched types of Machine Learning Scientist jobs in Seattle, WA?

The most popular types of Machine Learning Scientist jobs in Seattle, WA are:

What are popular job titles related to Machine Learning Scientist jobs in Seattle, WA?

For Machine Learning Scientist jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Scientist jobs in Seattle, WA look for?

The top searched job categories for Machine Learning Scientist jobs in Seattle, WA are:

Machine Learning Scientist jobs near you
Infographic showing various Machine Learning Scientist job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $154,140 per year, or $74.1 per hour.

Applied Scientist, AI

Red Violet, Inc.

Seattle, WA • On-site

$195K - $205K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

OUR COMPANY:
At red violet, we build proprietary technologies and apply analytical capabilities to deliver identity intelligence. Our technology powers critical solutions, which empower organizations to operate with confidence. Our solutions enable the real-time identification and location of people, businesses, assets, and their interrelationships. These solutions are used for purposes including identity verification, risk mitigation, due diligence, fraud detection and prevention, regulatory compliance, and customer acquisition. Our cloud-native, AI-embedded identity intelligence platform, CORE™, is purpose-built for the enterprise, yet flexible enough for organizations of all sizes, bringing clarity to massive datasets by transforming data into intelligence. Our solutions are used today to enable frictionless commerce, enhance safety, and mitigate fraud and the related financial losses borne by society.
JOB DUTIES:
  • Participate in the research, development, and refinement of AI and deep learning models and algorithms to address complex challenges in fraud detection, risk management, and identity verification.
  • Collaborate with cross-functional teams including data scientists and search/information retrieval engineers to define project goals, requirements, and deliverables.
  • Apply advanced machine learning techniques to analyze large and complex datasets, extract meaningful insights, and develop predictive models to improve risk assessment, background screening, and identity verification processes.
  • Design and implement state-of-the-art algorithms and methodologies for entity resolution, graph database analytics, and search/information retrieval.
  • Stay up to date with the latest advancements in AI, deep learning, and machine learning, and proactively apply cutting-edge techniques to improve our models, algorithms, and overall system performance.
  • Collaborate with product management and business stakeholders to understand customer requirements and translate them into scalable and reliable AI solutions.
  • Present research findings, project updates, and technical advancements to internal teams and executives.
  • Focus on unsupervised and semi-supervised deep learning models in addition to supervised learning models.
  • Employee must reside within normal commuting distance of the Seattle, WA office and work in the office at least 50 percent of the time.

REQUIRED MINIMUM QUALIFICATIONS:
  • Master's degree in Computer Science, Artificial Intelligence, or a related field with a focus on one or more of the following: generative AI, deep learning, reinforcement learning or graph neural networks.
  • 36 months of experience in an Applied Data Scientist, Machine Learning Scientist, or closely related role with a focus on large language models.
  • 2 years of experience working with applied research in machine learning and/or AI, with a strong focus on deep learning, unsupervised and semi-supervised learning, and generative AI.
  • 2 years of experience working with programming languages such as Python or C++.
  • 2 years of experience working with the AI frameworks TensorFlow, Keras, or PyTorch.
  • 2 years of experience working with designing and implementing deep architectures for production ML systems.
  • 2 years of experience working with scalable AI/ML solutions delivered at the scale of national/global cohorts.
  • Experience may have been gained concurrently.

TERMS OF EMPLOYMENT: Full-time role. $195,000 to $205,000/year
BENEFITS: Opportunity for stock (RSU) grants, 401K with company match, flexible PTO policy, medical, dental and vision coverage, commuter benefits, in-office healthy snacks, and team events.
Red Violet is proud to be an Equal Opportunity Employer.
TO APPLY: please email resume to resumes@redviolet.com with a reference to Applied Scientist, AI position.

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