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Hourly Embedded Machine Learning Jobs in Seattle, WA

Collaborate with engineers across embedded software, cloud, and machine learning to deliver new streaming capabilities. * Help shape the architecture and technical direction of Axon's native ...

Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and ...

Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and ...

Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and ...

Sr. SDE, EC2 Nitro Networking

Seattle, WA · On-site

$139K - $183K/yr

... Machine Learning workloads across HPC and Accelerated Platforms in EC2 Nitro. We are seeking a Sr. Software Engineer with experience in Dataplane development, System Software/Embedded software, Cloud ...

... Machine Learning workloads across HPC and Accelerated Platforms in EC2 Nitro. We are seeking a Software Engineer with experience in Dataplane development, System Software/Embedded software, Cloud ...

... Machine Learning workloads across HPC and Accelerated Platforms in EC2 Nitro. We are seeking a Software Engineer with experience in Dataplane development, System Software/Embedded software, Cloud ...

Sr. SDE, EC2 Nitro Networking

Seattle, WA

$139K - $183K/yr

... Machine Learning workloads across HPC and Accelerated Platforms in EC2 Nitro. We are seeking a Sr. Software Engineer with experience in Dataplane development, System Software/Embedded software, Cloud ...

Sr. SDE, EC2 Nitro Networking

Seattle, WA · On-site

$139K - $183K/yr

... Machine Learning workloads across HPC and Accelerated Platforms in EC2 Nitro. We are seeking a Sr. Software Engineer with experience in Dataplane development, System Software/Embedded software, Cloud ...

Showing results 41-60

Hourly Embedded Machine Learning information

See Seattle, WA salary details

$79.7K

$174.6K

$198K

How much do hourly embedded machine learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for hourly embedded machine learning in Seattle, WA is $174,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,600.00 and $196,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an hourly embedded machine learning engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an hourly embedded machine learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an hourly embedded machine learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

Infographic showing various Hourly Embedded Machine Learning job openings in Seattle, WA as of June 2026, with employment types broken down into 77% Full Time, 11% Part Time, 4% Temporary, 4% Contract, and 4% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $174,554 per year, or $83.9 per hour.

Senior Computer Vision and Machine Learning Research Scientist Seattle, Washington, United Stat[...]

Axon Enterprise

Seattle, WA • On-site

$159.75 - $255.60/hr

Other

Retirement, PTO

Posted 6 days ago


Job description

Location: Seattle, Washington, United States

Join Axon and be a Force for Good.

We are seeking a skilled and innovative Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company’s mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in CVML and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual data.

At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

What You’ll Do

Reports to: Director of AI Research
Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

  • Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow.
  • Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection.
  • Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data.
  • Develop performance and quality metrics for CVML models and systems, and validate their effectiveness in real-world settings.
  • Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
  • Stay up-to-date with the latest research and advances in CVML and translate relevant findings into shipping Axon products.
  • Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community.
  • Coach and mentor junior scientists.

What You Bring

  • PhD and 3+ years experience in Computer Science or a related field with a focus on computer vision, machine learning, artificial intelligence or related technical fields.
  • Proven track record of research in machine learning, computer vision or related fields.
  • Experience driving the ML development lifecycle and leveraging state-of-the-art research to deliver high quality models at scale.
  • Strong computer vision fundamentals such as image processing, feature extractions, object detection, semantic segmentation, video analysis or action recognition.
  • Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
  • Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras.
  • Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.
  • Experience in developing computer vision algorithms for resource-constrained edge devices or embedded systems preferred but optional.
Benefits that Benefit You
  • Competitive salary and 401k with employer match
  • Discretionary paid time off
  • Paid parental leave for all
  • Fitness Programs
  • Emotional & Mental Wellness support
  • And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

#LI-Hybrid

Base Pay Range

$159,750 — $255,600 USD

Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.

Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

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