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Machine Learning Software Engineer Jobs in Seattle, WA

Robinhood

Machine Learning Engineer

Bellevue, WA

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 ...

Amazon

Software Engineer, EC2 Nitro

Seattle, WA · On-site

... Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Your work will impact ... We are seeking a Software Engineer with experience in Dataplane development, System Software ...

Amazon

Software Engineer, EC2 Nitro

Seattle, WA

... Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Your work will impact ... We are seeking a Software Engineer with experience in Dataplane development, System Software ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

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 ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139K - $183K/yr

This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK ... You: As a Sr. Machine Learning Compiler Engineer III on the Amazon Neuron team, you will be a ...

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All JobsMachine Learning Software Engineer JobsMachine Learning Software Engineer Jobs in Seattle, WA

Machine Learning Software Engineer information

See Seattle, WA salary details

$72.3K

$167.9K

$233.9K

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

As of Jul 3, 2026, the average yearly pay for machine learning 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 does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.

What are popular job titles related to Machine Learning Software Engineer jobs in Seattle, WA? For Machine Learning Software Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Software Engineer jobs in Seattle, WA look for? The top searched job categories for Machine Learning Software Engineer jobs in Seattle, WA are:
Machine Learning Software Engineer jobs near you
Principal Machine Learning Systems Engineer

Principal Machine Learning Systems Engineer

Atlassian

Seattle, WA • On-site

Full-time

Posted 16 days ago

Job description

Job Summary:
Atlassian is a company focused on unleashing the potential of every team through innovative software products. They are seeking a Principal Machine Learning Systems Engineer to contribute to their Rovo & AI Engineering organization, leading projects that enhance product quality and reliability while collaborating with various teams.
Responsibilities:
• As a Principal ML System Engineer in the Rovo & AI Engineering org, you will contribute to Atlassian’s biggest bet and fastest area of growth, Rovo Chat.
• You will bring the latest bleeding edge innovations to the product and build agent harnesses that deliver a step function improvement in quality, reliability and latency.
• You will have the opportunity to lead other engineers to drive involved projects from technical design to launch.
• You will also collaborate with other teams and internal customers to set expectations, gather input and communicate results.
• Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings.
Qualifications:
Required:
• 7+ years of experience as a software developer
• Experience building customer facing Gen AI Applications at scale
• Experience pushing the state of the art to achieve breakthrough quality and reliability
• Deep understanding of Machine Learning projects lifecycle
• Experience leading and supporting senior engineers and working cross functionally
Preferred:
• Expertise in taking a platform approach to building product features, enabling multi team contributions
• Experience with efficiently scaling and deploying Machine Learning models
Company:
Atlassian is a software company that offers proprietary software products for teamwork, project management, and software development. Founded in 2002, the company is headquartered in Sydney, AUS, with a team of 10001+ employees. The company is currently Late Stage.

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