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Remote Full Stack Machine Learning Engineer Jobs in Seattle, WA

Alignerr

Machine Learning Engineer

Seattle, WA · Remote

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine ... This is a fully remote, flexible contract role built for experienced ML and engineering ...

DocuSign

Machine Learning Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health ...

DocuSign

Machine Learning Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

Machine Learning Engineer As a Machine Learning Engineer on the AI Platform team, you will design ... Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health ...

INSPYR Solutions

Full Stack Engineer

Seattle, WA · Remote

Monday through Thursday (ON SITE Required) with Remote Friday Start Date: 6/22/2026 End Date: 12/31 ... Passion for learning and improving engineering practices Education: Bachelors or equivalent ...

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186K - $300K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health ...

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186K - $300K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health ...

My3Tech Inc

Full Stack Engineers

Issaquah, WA · On-site +1

... Hire Remote for the Contract Period - 25% on site post conversion Tech Stack: * Java, JavaScript, React, WebSphere Commerce Engineer * Need 10+ folks, so a range of Front End, Full Stack and ...

Waymo

Machine Learning Engineer, Geometry Team

Kirkland, WA · On-site +1

$175K - $215K/yr

For this role, we are looking for a strong Software Engineer with robotics and machine learning ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Chewy

Senior Machine Learning Engineer

Bellevue, WA · On-site +1

$149K - $245K/yr

At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite ...

Samprasoft

Sr IoT Engineer - Full Stack

Seattle, WA · On-site +1

Seattle WA Is this role eligible for remote or hybrid work? Yes-Hybrid Starbucks - Application ... machine * Writing a python library that implements the equipment's control API via serialized ...

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All 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 Jun 19, 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 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 key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

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 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

Machine Learning Engineer

Alignerr

Seattle, WA • Remote

Other

Posted 14 days ago

Job description

Machine Learning Engineer (AI Data Trainer)
About the Role
What if your expertise in machine learning could directly influence how the next generation of AI models reason, plan, and solve complex problems? We're looking for Machine Learning Engineers to help train cutting-edge AI by demonstrating exactly how a skilled technical mind approaches and executes sophisticated challenges - step by step.
This is a fully remote, flexible contract role built for experienced ML and engineering professionals. You won't be building models from scratch - you'll be teaching them how to think by producing the high-quality reasoning data they learn from.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Construct precise, well-structured logical workflows that demonstrate expert-level problem-solving for complex technical challenges
  • Document sequential reasoning processes - how a problem is broken down, what tools are selected, and why decisions are made at each step
  • Generate high-quality training datasets that model proficient tool use, strategic thinking, and sound technical judgment
  • Audit and refine AI-generated reasoning traces, identifying gaps, errors, or flawed logic
  • Translate intricate technical processes into clear, structured formats that AI systems can learn from effectively
Who You Are
  • Experienced in machine learning, software engineering, or a closely related technical discipline
  • Able to articulate complex reasoning and multi-step problem-solving processes clearly and precisely
  • A sharp critical thinker who can evaluate whether a chain of logic is sound - and improve it when it isn't
  • Detail-oriented and consistent, with a methodical approach to structured work
  • Comfortable working independently and asynchronously in a remote environment
Nice to Have
  • Master's degree or PhD in Machine Learning, Computer Science, Engineering, or a related field
  • Prior experience with data annotation, data quality assurance, or AI evaluation workflows
  • Familiarity with large language models (LLMs) and how they are trained or fine-tuned
  • Background in technical writing, documentation, or instructional design
Why Join Us
  • Work alongside leading AI research labs on genuinely frontier AI projects
  • Fully remote and flexible - structure your hours around your life, not the other way around
  • Freelance autonomy with access to meaningful, intellectually stimulating work
  • Build deep, practical insight into how the world's most advanced AI models are trained
  • Potential for ongoing work and contract extension as new projects launch

Apply