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Remote Edge Ai Machine Learning Jobs in Renton, WA

Atlassian

Senior Machine Learning Manager

Seattle, WA · On-site +1

... end AI features using cutting-edge technologies. You will collaborate closely with a diverse and ... Experience building and scaling machine learning models in business applications using large ...

New

Chewy

Senior Machine Learning Engineer

Bellevue, WA · On-site +1

$149K - $245K/yr

Machine learning and deep-learning models will influence selection, relevance, ranking, click ... Publish research papers in leading ML/AI/Advertising conferences solving problems for scale using ...

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 ... Your passion for the craft of ML and AI will unlock tangible growth for our business by exploiting ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

If you are energized by high-velocity problem solving, cutting-edge AI, and the opportunity to ... machine learning engineers while fostering a culture of innovation, continuous improvement, and ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

If you are energized by high-velocity problem solving, cutting-edge AI, and the opportunity to ... machine learning engineers while fostering a culture of innovation, continuous improvement, and ...

OTSI

AI & Data Solutions Architect

Seattle, WA · Remote

Seattle (Remote, some travel required) We are seeking a highly technical, client-facing AI & Data ... Applied AI & Machine Learning: Strong architectural experience designing AI/ML solutions, vector ...

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All JobsEdge Ai Machine Learning JobsRemote Edge Ai Machine Learning JobsRemote Edge Ai Machine Learning Jobs in Renton, WA

Remote Edge Ai Machine Learning information

See Renton, WA salary details

$28.7K

$47.9K

$99K

How much do remote edge ai machine learning jobs pay per year?

As of Jul 22, 2026, the average yearly pay for remote edge ai machine learning in Renton, WA is $47,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,600.00 and $51,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Edge Ai Machine Learning vs Data Scientist?

AspectRemote Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, CS, or related fields; strong analytical skills
Work EnvironmentRemote, often on edge devices or IoT systemsTypically office or remote, analyzing data in cloud or on-premises
Industry UsageAI development, IoT, autonomous systemsBusiness analytics, research, product development

Remote Edge Ai Machine Learning specialists focus on deploying ML models on edge devices, often requiring knowledge of embedded systems. Data Scientists analyze large datasets to extract insights, usually working in cloud environments. While both roles require strong ML fundamentals, their work environments and application areas differ significantly.

What job categories do people searching Remote Edge Ai Machine Learning jobs in Renton, WA look for? The top searched job categories for Remote Edge Ai Machine Learning jobs in Renton, WA are:
What cities near Renton, WA are hiring for Remote Edge Ai Machine Learning jobs? Cities near Renton, WA with the most Remote Edge Ai Machine Learning job openings:
Remote Edge Ai Machine Learning jobs near you
Software Engineer, Machine Learning RecSys

Software Engineer, Machine Learning RecSys

Meta

Bellevue, WA • On-site, Remote

$183K/yr

Full-time

Posted 21 days ago

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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