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Embedded Machine Learning Engineer Jobs in Redmond, WA

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Remitly

Staff Machine Learning Engineer

Seattle, WA · On-site

$208K - $260K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning ...

Snapchat

Machine Learning Engineer, Level 4

Seattle, WA · On-site

  • Medical

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...

Axon

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Machine Learning Engineer at Axon , you'll help build AI solutions that are transforming public safety and advancing our mission to Protect Life . You'll work alongside talented ML engineers and ...

Snapchat

Machine Learning Engineer, Level 4

Bellevue, WA · On-site

  • Medical

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...

Snapchat

Machine Learning Engineer, Level 5

Seattle, WA · On-site

  • Medical

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...

Snap, Inc.

Machine Learning Engineer, Level 4

Seattle, WA · On-site

  • Medical

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...

Zoom

Sr. Machine Learning Engineer - AI

Seattle, WA · On-site

$157.44 - $236.20/hr

As a Machine Learning Engineer specializing in knowledge graphs, you will work closely with cross-functional teams to design, implement, and optimize algorithms and models that enable efficient ...

Snap, Inc.

Machine Learning Engineer, Level 5

Seattle, WA · On-site

  • Medical

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...

PitchBook

Sr. Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

PitchBook, a Morningstar company, is seeking a Senior Machine Learning Engineer to join their Product and Engineering team. The role involves delivering AI-powered features that extract insights from ...

SynergisticIT

AI & Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

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 ...

Apple Inc.

Machine Learning Engineer, SIML

Seattle, WA · On-site

$139.50 - $258.10/hr

  • Medical

  • Dental

  • Retirement

Description We are seeking a machine learning research engineer with experience building modern generative models based on diffusion and auto-regressive technologies. The ideal candidate has solid ML ...

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All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Redmond, WA

Embedded Machine Learning Engineer information

See Redmond, WA salary details

$78.4K

$171.8K

$194.9K

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

As of Aug 19, 2026, the average yearly pay for embedded machine learning engineer in Redmond, WA is $171,782.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,300.00 and $193,800.00 per year, depending on experience, location, and employer.

What does an embedded machine learning engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are the key skills and qualifications needed to thrive as an embedded machine learning engineer?

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What are some common challenges faced by embedded machine learning engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Redmond, WA?

For Embedded Machine Learning Engineer jobs in Redmond, WA, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning Engineer jobs in Redmond, WA look for?

The top searched job categories for Embedded Machine Learning Engineer jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for Embedded Machine Learning Engineer jobs?

Cities near Redmond, WA with the most Embedded Machine Learning Engineer job openings:

Embedded Machine Learning Engineer jobs near you
Infographic showing various Embedded Machine Learning Engineer job openings in Redmond, WA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $171,782 per year, or $82.6 per hour.

Staff Machine Learning Engineer

Hive

Seattle, WA • On-site

$200K - $300K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 21 days ago

Job description

About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
Staff Machine Learning Engineer
In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
Responsibilities
  • Everything involved in applying a ML model to a production use case, including designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
  • Write and maintain scalable, performant code that can be shared across platforms
  • Contribute meaningfully to the product and core backend systems by suggesting and executing improvements
  • Improve engineering standards, tooling, and processes
  • Develop novel, accurate, and performant ML algorithms for use at scale
  • Conduct metric-driven research experiments to improve model performance
  • Provide mentorship to and help onboard ML engineers
  • Lead cross-functional collaboration with other teams
  • Contribute to defining strategic direction, planning the roadmap
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Minimum Requirements
  • You have a Bachelor's Degree in computer science or a related field
  • You have 8+ years of experience building web applications
  • You have successfully implemented highly-available distributed systems/microservices
  • You have delivered scalable backend APIs
  • You have strong interpersonal and communication skills with a bias towards action
  • You have experience writing code and training across distributed systems
  • You have the ability to understand and make well-reasoned tradeoffs in designing features
  • You are an expert in machine learning frameworks, such as PyTorch or Tensorflow
  • You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis
  • You are a subject matter expert in at least one focus area of machine learning, such as computer vision or natural language processing
  • You can lead end to end development of new products

Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Hive and we hope to meet you soon!
The current expected base salary for this position ranges from $200,000 - $300,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.
Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.
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.

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