ZipRecruiter

Log In

2

Remote Full Stack Machine Learning Engineer Jobs in Seattle, WA

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 ...

CourtAvenue

Senior Fullstack Software Engineer

Seattle, WA · On-site +1

... learning from past experiences. * Proven expertise in full-stack development (Web UX/UI, REST APIs ... Broad programming skills (e.g., NodeJS, JavaScript, SQL, C#, Java, Swift, Kotlin). * Expertise with ...

CourtAvenue

Senior Fullstack Software Engineer

Seattle, WA · Remote

$115K - $145K/yr

... learning from past experiences. * Proven expertise in full-stack development (Web UX/UI, REST APIs ... Broad programming skills (e.g., NodeJS, JavaScript, SQL, C#, Java, Swift, Kotlin). * Expertise with ...

Outpost

Machine Learning Data Engineer

Seattle, WA · Remote

$130K - $160K/yr

... engineers. * Build and improve the continuous learning pipeline so new models ship weekly with ... Our Stack: Python · Roboflow · VLM/OCR pipelines · GCP (GCS) · PostgreSQL · Snowflake · ...

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $163K/yr

... engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines. You will collaborate closely with product teams, such as Jira and Confluence, to ...

previous page

Showing results 41-60

All JobsFull Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in Seattle, WA

Remote Full Stack Machine Learning Engineer information

See Seattle, WA salary details

$50.6K

$153.4K

$216.8K

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

As of Aug 20, 2026, the average yearly pay for remote full stack machine learning engineer in Seattle, WA is $153,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,300.00 and $179,800.00 per year, depending on experience, location, and employer.

What is a remote full stack machine learning engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote full stack machine learning engineer?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.

What are some common challenges faced by remote full stack machine learning engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

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

The most popular types of Full Stack Machine Learning Engineer jobs in Seattle, WA are:

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

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

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

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

Remote Full Stack Machine Learning Engineer jobs near you

Software Engineer, Machine Learning RecSys

Meta

Bellevue, WA • On-site, Remote

$183K/yr

Full-time

Re-posted 20 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

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.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply