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Associate Full Stack Machine Learning Engineer Jobs in Seattle, WA

Microsoft

Principal Machine Learning Engineer

Redmond, WA · On-site

$188K - $304.20K/yr

You'll spend your time working across the stack from curriculum design, to debugging training runs ... Your work will span the full spectrum of model development - training and optimizing models on the ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Proficient in JAVA & Python programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan the project milestones, resourcing and work distribution * Execute ...

Adobe

Machine Learning Engineer

Seattle, WA

$93.90K - $125.20K/yr

We are looking for a Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation, building ...

Deloitte

Lead Full Stack Engineer

Seattle, WA · On-site

Experience with artificial intelligence, machine learning, or generative AI solutions * Experience ... As a Full-stack Software Engineer, you will actively engage in your engineering craft, taking a ...

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of ...

Capgroup

Senior Machine Learning Engineer

Seattle, WA · On-site

$118.90K - $163.30K/yr

We believe that belonging leads to better outcomes and a stronger community of associates united by ... a full life." You bring unique goals and interests to your job and your life. Whether you're ...

Capital Group

Senior Machine Learning Engineer

Seattle, WA · On-site

$118.90K - $163.30K/yr

We believe that belonging leads to better outcomes and a stronger community of associates united by ... a full life." You bring unique goals and interests to your job and your life. Whether you're ...

MORSE Corp

Full Stack Software Engineer

Seattle, WA

MORSE is seeking a skilled Full Stack Software Engineer to join one or more projects in big data ... machine learning, analysis, and mission planning capabilities to a wide variety of DoD customers.

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ... Be a generalist, supporting different parts of our software stack as needed. What makes you a good ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ... Be a generalist, supporting different parts of our software stack as needed. What makes you a good ...

Metropolis

Machine Learning Engineer, Growth

Seattle, WA

$150K - $180K/yr

Who you are Metropolis is seeking a Machine Learning Engineer to develop and expand our revenue forecasting and dynamic pricing systems. This position is part of the machine learning team within the ...

Expedia

Senior Machine Learning Engineer

Seattle, WA · On-site

$184.50K - $258K/yr

We provide a full benefits package, including exciting travel perks, generous time-off, parental ... Ensure scalability, observability, and fault-tolerance across all components of the ML stack

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Associate Full Stack Machine Learning Engineer information

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$50.6K

$153.4K

$216.8K

How much do associate full stack machine learning engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for associate full stack machine learning engineer in Seattle, WA is $153,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,300.00 and $179,800.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Seattle, WA? The most popular types of Full Stack Machine Learning Engineer jobs in Seattle, WA are:
Associate Full Stack Machine Learning Engineer jobs near you
Principal Machine Learning Engineer

Principal Machine Learning Engineer

Microsoft

Redmond, WA • On-site

$188K - $304.20K/yr

Full-time

Posted yesterday

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

46th of 184 rated software companies

Job description

Overview
Health Futures is a Research and Incubation team working at the intersection of computer science, signal processing, machine learning, and biomedicine. We are a global and diverse team of engineers, scientists, and medical doctors who are working on next-generation Artificial Intelligence (AI) tools and methods for health and life sciences. We offer a unique and vibrant environment that features innovative academic research, enterprise software development, and real-world delivery, with close feedback loops and rapid iterations among all three, much like a lean startup. Our mission is to empower every person on the planet to live a healthier future.
We are seeking a Principal Machine Learning Engineer to accelerate our training of generative models in close collaboration with Maching Learning (ML) researchers, software engineers, and domain experts. This is a hands-on technical role focused on advancing state-of-the-art model capabilities across a variety of scientific domains and modalities. You'll spend your time working across the stack from curriculum design, to debugging training runs, through developing new evaluation methods and high-performance inferencing - with a goal of improving all phases of our training process.
As part of Health Futures, you'll have the opportunity to tackle everything from model training to data and evaluation pipelines. Your work will span the full spectrum of model development - training and optimizing models on the latest hardware, devising new ways to assess their capabilities, and evolving data and training workflows to maximize model utility. Beyond model training, you'll participate in explorations of how these models can and should be used in the real world - and the systems required to successfully operate them.
At Microsoft, our mission-to empower every person and every organization on the planet to achieve more-guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress-people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what's next for everyone.
Responsibilities
  • Lead the design and development of machine learning models and systems for health and life sciences applications, ensuring scalability and reliability.
  • Define technical strategy and architecture for ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment.
  • Collaborate with interdisciplinary teams (including scientists, researchers, and software engineers) to envision and develop AI-augmented scientific systems.
  • Mentor engineers and researchers, promoting best practices in ML development, experimentation, and responsible AI principles.
  • Ensure security, privacy, and regulatory compliance across ML workflows and data handling.

Qualifications
Required Qualifications
  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

Preferred Qualifications
  • Masters in Computer Science or related technical field AND 6+ years technical engineering experience including significant work in machine learning or applied AI
    • OR equivalent experience.
  • Proven track record of designing and deploying large-scale ML or MLops systems in research or product settings.
  • Hands-on experience with large-scale distributed training of ML models.
  • Deep expertise in ML algorithms, model optimization, and frameworks (e.g., PyTorch, TensorFlow).
  • Experience with one or more of: optimizing data mixes, mid-training, post-training, model merging, or model distillation.
  • Familiarity with security and compliance standards for enterprise and health data.
  • Demonstrated ability to communicate effectively and solve problems in collaborative, research-driven environment.

#Research #healthfutures #researchsystems
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

What Microsoft employees say

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Benefits

Hours and flexibility

Workplace

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media

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