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Edge Ai Machine Learning Jobs in Seattle, WA (NOW HIRING)

AI & Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

SynergisticIT is looking for candidates interested in Python, machine learning, NLP, automation, data processing, APIs, model evaluation, and AI-powered applications. This opportunity is ideal for ...

IUNU is revolutionizing the agriculture industry through cutting-edge AI-driven solutions for greenhouse operations. They are seeking an Applied Machine Learning Engineer to develop products for ...

At IUNU ("you knew'), we're revolutionizing the agriculture industry through cutting-edge AI-driven ... Applied Machine Learning Engineer responsibilities include creating machine learning models and ...

At IUNU ("you knew'), we're revolutionizing the agriculture industry through cutting-edge AI-driven ... Applied Machine Learning Engineer responsibilities include creating machine learning models and ...

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and ... Optimize algorithms for low-latency inference on edge devices (spacecraft hardware). * Collaborate ...

This role offers the opportunity to apply cutting-edge AI techniques in production settings to ... Minimum of five years of industry experience in AI, machine learning, or related roles, with a ...

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ...

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ...

About the Company Armada is the hyperscaler for the edge, delivering modular AI infrastructure from ... Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), and real ...

This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part ... AI and ML Research : Evaluate cutting technologies, including but not limited to, transformer-based ...

This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part ... AI and ML Research : Evaluate cutting technologies, including but not limited to, transformer-based ...

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Edge Ai Machine Learning information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

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

As of Aug 5, 2026, the average yearly pay for edge ai machine learning in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 per year, depending on experience, location, and employer.

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

How to become an edge AI machine learning engineer?

To become an edge AI machine learning engineer, develop strong skills in machine learning, embedded systems, and programming languages like Python and C++. Gain experience with hardware platforms such as NVIDIA Jetson or Raspberry Pi, and learn to optimize models for low-power, resource-constrained environments. Earning certifications in AI, embedded systems, or IoT can also enhance your qualifications.
What are the most commonly searched types of Edge Ai Machine Learning jobs in Seattle, WA? The most popular types of Edge Ai Machine Learning jobs in Seattle, WA are:
What are popular job titles related to Edge Ai Machine Learning jobs in Seattle, WA? For Edge Ai Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What cities near Seattle, WA are hiring for Edge Ai Machine Learning jobs? Cities near Seattle, WA with the most Edge Ai Machine Learning job openings:
Infographic showing various Edge Ai Machine Learning job openings in Seattle, WA as of July 2026, with employment types broken down into 27% Internship, and 73% Full Time. Highlights an 100% In-person job distribution, with an average salary of $48,461 per year, or $23.3 per hour.

AI & Machine Learning Engineer

SynergisticIT

Seattle, WA • On-site

$130K - $156K/yr

Other

Posted 4 days ago


Job description

Entry-Level AI Programmer — Learn to Build Useful AI Applications AI is changing how companies build products, automate work, analyze information, and serve customers. But entry-level AI candidates need practical skills, not just curiosity. Employers value candidates who can program, work with data, build models, use APIs, and explain how AI output supports a real use case. SynergisticIT is looking for candidates interested in Python, machine learning, NLP, automation, data processing, APIs, model evaluation, and AI-powered applications. This opportunity is ideal for candidates who want to enter AI from a programming or data foundation and develop skills that are easier for employers to assess. SynergisticIT JOPP is good for AI-focused candidates because it helps connect AI learning with job-market expectations. Candidates can focus on practical projects, technical fundamentals, interview readiness, resume positioning, and a clearer path toward junior AI, ML, data science, or software roles. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ If you want to build practical AI skills for career growth, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.