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Remote Machine Learning Engineer Jobs in Bellevue, WA

Aquent

AI Engineer - Machine Learning 3

Redmond, WA · On-site +1

$80 - $90/hr

Strong technical foundations in software engineering, machine learning, statistics, and experimental design. * Experience building data-intensive applications, machine learning systems ...

Meta

Software Engineer, Machine Learning

Bellevue, WA

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences * Implement ...

Expedia

Machine Learning Scientist III

Seattle, WA · Remote

Our Machine Learning and Data Science team are growing! We are looking to hire researchers and data ... Partner closely with product managers, engineers, and business stakeholders to understand ...

Expedia

Senior Machine Learning Scientist

Seattle, WA · Remote

$104K - $142K/yr

Partners closely with product, engineering, and operations while mentoring junior scientists and ... Our Machine Learning and Data Science team is growing. We are looking for a Senior Machine Learning ...

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

As a senior Machine Learning Systems Engineer on the Search Platform team, you will own and drive the design, development, and production deployment of machine learning systems that power search ...

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

Responsibilities As a senior Machine Learning Systems Engineer on the Search Platform team, you will own and drive the design, development, and production deployment of machine learning systems that ...

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

As a senior Machine Learning Systems Engineer on the Search Platform team, you will own and drive the design, development, and production deployment of machine learning systems that power search ...

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 ...

Atlassian

Senior Machine Learning Manager

Seattle, WA · On-site +1

Over the years, Atlassian has expanded its suite of productivity tools, yet developers remain at ... Experience building and scaling machine learning models in business applications using large ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Bellevue, WA

Remote Machine Learning Engineer information

See Bellevue, WA salary details

$35.6K

$145.3K

$218.4K

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

As of Jul 19, 2026, the average yearly pay for remote machine learning engineer in Bellevue, WA is $145,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $174,900.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in Bellevue, WA? The most popular types of Machine Learning Engineer jobs in Bellevue, WA are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Bellevue, WA? For Remote Machine Learning Engineer jobs in Bellevue, WA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Bellevue, WA look for? The top searched job categories for Remote Machine Learning Engineer jobs in Bellevue, WA are:
What cities near Bellevue, WA are hiring for Remote Machine Learning Engineer jobs? Cities near Bellevue, WA with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Bellevue, WA as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $145,334 per year, or $69.9 per hour.
Software Engineer, Machine Learning RecSys

Software Engineer, Machine Learning RecSys

Meta

Bellevue, WA • On-site, Remote

$154K/yr

Full-time

Posted 20 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 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 passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class 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:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 2+ years of programming experience in a relevant programming language
  • 1+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, llms or artificial intelligence
  • 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

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

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.
$154,003/year to $217,000/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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