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Machine Learning Engineer Software Engineer Jobs in Seattle, WA

Collaborate in cross-functional teams of Software Engineers and Machine Learning Engineers/Scientists to design and develop large-scale batch and real-time ML solutions in the Distribution and Supply ...

Machine Learning Engineer

Seattle, WA ยท On-site

$120K - $180K/yr

Hive also offers turnkey software applications powered by proprietary AI models and datasets ... machine learning engineers. We are looking for developers who are excited about staying at the ...

Machine Learning Engineer

Seattle, WA ยท On-site

$120K - $180K/yr

Hive also offers turnkey software applications powered by proprietary AI models and datasets ... machine learning engineers. We are looking for developers who are excited about staying at the ...

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... Experience building ML models in Python; solid software engineering and algorithms fundamentals

Principal Machine Learning Engineer

Redmond, WA ยท On-site

$188K - $304K/yr

Collaborate with interdisciplinary teams (including scientists, researchers, and software engineers ... work in machine learning or applied AI * OR equivalent experience. * Proven track record of ...

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline ... Machine Learning Engineer II Why We Have This Role We are looking for an engineer to bring our ...

Senior Machine Learning Engineer

Seattle, WA ยท Hybrid

$139K - $183K/yr

Reports to: Manager, Machine Learning Engineering * Collaborate with scientists and product ... Excellent software design skills. * Comfort communicating and interacting with scientists ...

Senior Machine Learning Engineer

Seattle, WA ยท On-site

$139K - $183K/yr

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline ... Senior Machine Learning Engineer Why We Have This Role We are looking for an engineer to bring our ...

Senior Machine Learning Engineer

Seattle, WA ยท On-site

$139K - $183K/yr

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline ... Senior Machine Learning Engineer Why We Have This Role We are looking for an engineer to bring our ...

Machine Learning Engineer

Seattle, WA ยท On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

Machine Learning Engineer- Services

Seattle, WA ยท On-site

$169K - $233K/yr

As a software engineer on the team, you'll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient ...

Sr. Machine Learning Engineer 4

Seattle, WA ยท On-site

$118K - $163K/yr

We are looking for a Senior Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation ...

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Machine Learning Engineer Software Engineer information

See Seattle, WA salary details

$72.3K

$167.9K

$233.9K

How much do machine learning engineer software engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine learning engineer software engineer in Seattle, WA is $167,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,600.00 and $196,900.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Engineer Software Engineer vs Data Scientist?

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

How do Machine Learning Engineer Software Engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.
What are popular job titles related to Machine Learning Engineer Software Engineer jobs in Seattle, WA? For Machine Learning Engineer Software Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Software Engineer jobs in Seattle, WA look for? The top searched job categories for Machine Learning Engineer Software Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Machine Learning Engineer Software Engineer jobs? Cities near Seattle, WA with the most Machine Learning Engineer Software Engineer job openings:

AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - US

Prolific Academic Ltd

Seattle, WA โ€ข On-site, Remote

$200/hr

Full-time

Posted yesterday


Job description

AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management ToolsAbout Prolific

Prolific is not just another player in the AI space โ€“ we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We are inviting experienced professionals in AI / Machine Learning Engineer leadership roles to participate in upcoming research projects focused on workflow management tools and development processes. We are particularly interested in individuals who are involved in evaluating, selecting, purchasing, or making decisions about workflow management tools within their organizations.

If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for our research tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to share your expertise with researchers and organisations who need real-world People Ops insight.

Researchers looking for your skills tend to pay up to $200 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

This opportunity is open to professionals who:

  • Hold a Manager-level position or above
  • Work in AI / Machine Learning Engineer, Software Engineering, Software Development, Product Management, or UX/Product Design
  • Currently use, or are actively considering using, workflow management tools
  • Participate in decision-making regarding development, product, or workflow management tools within an organization

Please note: This is a "bench" model. By verifying your credentials, you gain eligibility for research opportunities as they become available. Access is based on project demand and professional profile matching.

What you'll bring
  • Manager-level experience or higher in software engineering, product management, or product design functions
  • Experience evaluating, selecting, implementing, or managing workflow management tools
  • Familiarity with software development, product development, or design workflows
  • Involvement in purchasing decisions, tool selection, budgeting, or strategic recommendations related to development and collaboration tools
What you'll be doing in the role
  • Complete a paid screener to help us assess your background and suitability for specific research tasks
  • Participate in AI-moderated interviews/written tasks
  • Complete qualitative surveys and feedback activities
  • Share insights about workflow management practices, tool selection, and organizational needs
Key Technologies
  • Direct experience with tools such as Jira, Linear, Azure DevOps, GitHub Projects, GitLab Issues/Boards, Shortcut, Asana, ClickUp, or Monday.com is required.
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation โ€“ one that reflects the breadth and the best of humanity.

When you're ready to start, simply click on the link below:

Start the registration here!

Or copy and paste this link: https://app.prolific.com/register/participant/waitlist/?campaign_code=C4X667WC

Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.