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Remote Edge Ai Machine Learning Jobs in Renton, WA

Axon

Senior Agentic AI Research Scientist

Seattle, WA · On-site +1

$112K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will advance the state-of-the-art in machine learning and multimodal technology and apply your ... and develop cutting-edge algorithms and solutions that enable intelligent perception and ...

Expedia

Senior Machine Learning Scientist

Seattle, WA · Remote

$104K - $142K/yr

  • Medical

  • Dental

  • Vision

  • PTO

You will develop state-of-the-art machine learning and AI solutions to power and enhance the customer experience across highly complex postbooking recommendations, customer service, and trip ...

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $163K/yr

... Machine Learning for Atlassians teams, customers, and ecosystem. We aim to build productive and ... Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI ...

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

... Machine Learning for Atlassian's teams, customers, and ecosystem. We aim to build productive and ... Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI ...

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

... Machine Learning for Atlassian's teams, customers, and ecosystem. We aim to build productive and ... Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI ...

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186K - $300K/yr

  • Medical

  • Life

  • Retirement

  • PTO

If you are passionate about applying complex AI architectures to massive datasets (billions of ... Employee divides their time between in-office and remote work. Access to an office location is ...

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 ...

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Showing results 21-40

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 Aug 16, 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

Principal Machine Learning Engineer

Extreme Networks

Seattle, WA • Remote

Full-time

Posted 19 days ago

Job description

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.

Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.

Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.

AI Senior Principal Machine Learning Engineer
Experience: 12 to 18 years
Skills: Python/Java, Cloud, PyTorch, CUDA, MapReduce, Spark, Flink, Kafka, PySpark, SageMaker
 
About the position
 
Are you energized by the idea of innovating with generative AI? Do you aspire to create a global impact while tackling challenges at the forefront of machine learning? Do you want to be part of the team working on ground-breaking products that define the future of AI-driven network management?  Then come, advance with us. This is an incredible opportunity to innovate new networking experiences while working at the cutting edge of IOT, big data, cloud computing, ML and generative AI. This is a greenfield project in which you will help define every aspect of user and product experience and drive significant portions of the technical and scientific roadmaps.
There has never been a better time to join Extreme, after several acquisitions extending our portfolio and go-to market strategy, we have seen enormous opportunity and growth within the regions. Aside from being a Technology Leader in the Gartner Magic Quadrant, we also adamantly promote an internal culture that truly embraces diversity, inclusion, and equality in the workplace. Having Diversity and Inclusion as part of our core values and beliefs, we’re proud to foster an environment where every Extreme employee can thrive because of their differences, not despite them. Our moto here at Extreme is ‘Advance with us’ and it applies to everyone we work with – inside and outside the company.
Our group is responsible for developing core solutions in data mining, machine learning, anomaly detection and natural language processing, positively impacting multiple existing Extreme flagship products and new offerings from the company. We are spearheading a fundamental shift in how businesses think about managing their wired and wireless networks by building high-performance, real-time multi-agent systems that can perceive, learn, and act intelligently on behalf of humans.  As a part of this group, you will constantly experiment with new technologies, innovate best-in class networking experiences, and launch state of the art machine learning and data mining solutions.
Responsibilities
  • Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation.
  • Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation.
  • Craft high-performance, production-ready machine learning code for our next-generation real-time ML platform. Extend existing ML libraries and frameworks.
  • Working closely with other engineers and scientists, lead solutions to accelerate model development, validation and experimentation cycles, and integrate models and algorithms in production systems at a very large scale.
  • Mentor and develop other engineers on the team, establish technical direction and foster team culture.
  • Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.
Qualifications:
  • Degree in mathematics/computer science or related discipline.
  • 12+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
  • 7+ years of experience in programming, with proficiency in at least one programming language, preferably Python or Java.
  • 5+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Experience working with distributed data and ML technologies (e.g. MapReduce, Spark, Flink, Kafka, PySpark, SageMaker etc.).
  • Experience as a mentor, tech lead or leading an engineering team.
  • Adept at tackling highly complex, ambiguous or undefined problems.
Preferred Qualifications:
  • MS or PhD in Computer Science or equivalent experience in ML.
  • Experience dealing with real world large-scale datasets.
  • Prior experience delivering end-to-end ML solutions, including data preparation, training, fine-tuning and deployment of large models.
  • Prior experience in developing ML optimization techniques in frameworks like PyTorch and CUDA.
 
Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!
Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.

We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.