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Remote Senior Machine Learning Engineer Jobs in Seattle, WA

YO AI Labs

Senior Software Engineer - Remote

Seattle, WA · Remote

$139K - $183K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Outpost

Machine Learning Data Engineer

Seattle, WA · Remote

$130K - $160K/yr

Build and improve the continuous learning pipeline so new models ship weekly with minimal manual engineering effort. * Define functional acceptance criteria for CV accuracy per customer and track ...

Paradigm

Senior Applied ML Engineer

Seattle, WA · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data ...

Amazon

Senior SDE, AWS SageMaker Data Preparation

Bellevue, WA · Remote

$138K - $182K/yr

As a Senior SDE on this team, you will own the design and delivery of large-scale, highly available ... machine learning implementations, allowing developers and data scientists to focus on the core ...

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All JobsMachine Learning Engineer JobsRemote Senior Machine Learning Engineer JobsRemote Senior Machine Learning Engineer Jobs in Seattle, WA

Remote Senior Machine Learning Engineer information

See Seattle, WA salary details

$85.9K

$163.1K

$218.5K

How much do remote senior machine learning engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote senior machine learning engineer in Seattle, WA is $163,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,400.00 and $183,800.00 per year, depending on experience, location, and employer.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Seattle, WA?

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

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

The top searched job categories for Remote Senior Machine Learning Engineer jobs in Seattle, WA are:

Remote Senior Machine Learning Engineer jobs near you
Infographic showing various Remote Senior Machine Learning Engineer job openings in Seattle, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $163,070 per year, or $78.4 per hour.

Software Engineer, Machine Learning RecSys

Seattle, WA • On-site, Remote

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$183K/yr

Full-time

Re-posted 3 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for engineers who can help us advance the way people connect globally. If you're interested in joining a team and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer, Machine Learning RecSys Responsibilities:
  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
  • Implement custom user interfaces using latest programming techniques and technologies
  • Develop reusable software components for interfacing with back-end platforms
  • Analyze and optimize code for quality, efficiency, and performance
  • Lead complex technical or product efforts and provide technical guidance to peers
  • Architect efficient and scalable systems that drive complex applications
  • Identify and resolve performance and scalability issues
  • Work on a variety of coding languages and technologies
  • Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications:
  • 3+ years of experience in software engineering or a relevant field. 2+ years of experience if you have a PhD
  • 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or a related technical field
  • Experience with scripting languages such as Python, Javascript or Hack
  • Experience with developing machine learning models at scale from inception to business impact
  • Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
  • Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
  • Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)
  • Experience building and shipping high quality work and achieving high reliability
  • Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with scripting languages such as Pytorch and TensorFlow
  • Exposure to architectural patterns of large scale software applications
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments
  • Master's degree or PhD in Computer Science or another ML-related field

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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