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

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

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 ...

1 point system

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title ... Candidates will work directly with cutting-edge research, helping transform breakthrough ideas into ...

Apple Inc.

Machine Learning Engineer, SIML

Seattle, WA · On-site

$139.50 - $258.10/hr

Come join the team that turned cutting edge Generative AI research into compelling user experiences ... Description We are seeking a machine learning research engineer with experience building modern ...

New

Apple

AIML - Machine Learning Research

Seattle, WA

$142K - $263K/yr

... edge research in generative AI to production ready technologies. Description In this role, you will work on LLM based question answering and Apple Intelligence features to provide concise, accurate ...

Apple Inc.

Machine Learning Engineer

Seattle, WA · On-site

$175 - $308.50/hr

Seattle, Washington, United States Machine Learning and AI Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be ...

SpangleAI

AI/ML Scientist

Bellevue, WA · On-site

Responsibilities : • Conduct cutting-edge research in Generative AI (GAI) and Large Language ... D. or Master's degree in AI, Machine Learning, Data Science, Computer Science, Electrical ...

Armada

AI Engineer

Bellevue, WA · On-site

Hands-on experience with statistical machine learning, deep learning, and natural language ... Experience deploying production AI on GPUs, edge servers, embedded accelerators, robotics platforms ...

Unchain Data

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

AI and ML Research : Evaluate cutting technologies, including but not limited to ... Develop and implement scalable machine learning models focusing on advanced ranking and ...

New

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All JobsEdge Ai Machine Learning JobsEdge Ai Machine Learning Jobs in Seattle, WA

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 8, 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 job categories do people searching Edge Ai Machine Learning jobs in Seattle, WA look for? The top searched job categories for Edge Ai Machine Learning jobs in Seattle, WA 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:
Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 5% Internship, 80% Full Time, and 15% Contract. Highlights an 87% In-person, 6% Hybrid, and 7% Remote job distribution, with an average salary of $48,461 per year, or $23.3 per hour.

Machine Learning Engineer

Robinhood

Bellevue, WA • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 6 days ago

Robinhood rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Join us in building the future of finance.
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading.
About the team + role
We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents.
You'll take on a highly influential role shaping vision and execution across key strategic initiatives. You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team. This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them.
This role is based in our Bellevue, WA, with in-person attendance expected at least three days per week.
At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
What you'll do
As a Machine Learning Engineer on the AI Research and Development team, the primary focus will be on the implementation and evaluation of machine learning algorithms through rigorous experimentation and testing methodologies.
The responsibilities will include:
  • AI and ML Research: Evaluate cutting technologies, including but not limited to, transformer-based model architecture and large foundational models to identify solutions for Robinhood specific problems.
  • Model Development and Implementation: Develop and implement scalable machine learning models focusing on advanced ranking and recommendation systems, including expertise in Collaborative Filtering, Content Based Filtering, and Hybrid models, alongside proficiency in Learning to Rank (LTR) techniques for effective prioritization. Additionally, design reinforcement learning algorithms and apply multi-armed bandit strategies to optimize decision-making in dynamic environments, balancing exploration and exploitation.
  • A/B Testing and Experimentation: Design and conduct A/B tests to assess the performance of different machine learning models. This includes setting up the test environment, monitoring performance, and analyzing results.
  • Data Analysis and Insight Generation: Analyze experimental data to extract actionable insights. Use statistical techniques to validate the findings and ensure their relevance and accuracy.
  • Cross-Functional Collaboration: Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Present results to different stakeholders.
  • Tooling and Documentation: Build reusable libraries for common machine learning practices. Offer support and guidance to the usage of these tools. Maintain comprehensive documentation of libraries, models, experiments, and findings.
  • Telecommuting permitted.
What you bring
  • Bachelor's degree or foreign equivalent in Computer Science or related field and three years (3) of experience in job offered or related occupation. Alternatively, a Masters in Computer Science or related field and one year (1) of experience in job offered or related occupation
  • Education and/or experience must include:
    • Productionisation of ML models with focus on recommendations, ranking, or personalization;
    • Model development with classical ML techniques for tabular data;
    • Model development with modern ML techniques for sequential data;
    • Hands-on experience with architectural frameworks of large, distributed, and high-scale ML applications;
    • Produce robust business outcomes through comprehensive AB test and rigorous statistical analysis;
    • Proficiency in Python, SQL, XGBoost, Pytorch or Tensorflow to carry out production ready projects; and
    • Spark, Kafka, or Kubernetes.
  • Background checks required.
What we offer
  • Challenging, high-impact work to grow your career
  • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
  • Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
  • Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to the corresponding compensation zone.
Base Pay Range:
$161,138 - $200,000 per year
To Apply: Apply by clicking APPLY NOW. Indicate job code 10035097 in your application.
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work-welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

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