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Machine Learning Engineer Associate Jobs in Seattle, WA

Microsoft

Principal Machine Learning Engineer

Redmond, WA · On-site

$188K - $304.20K/yr

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 ...

Chewy

Senior Machine Learning Engineer

Bellevue, WA · On-site

$149K - $245K/yr

At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite ...

Chewy

Senior Machine Learning Engineer

Bellevue, WA · On-site +1

$149K - $245K/yr

At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite ...

Chewy

Staff Machine Learning Engineer

Bellevue, WA

$186.50K - $297.50K/yr

At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Staff Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite ...

Apple

AIML - Machine Learning Engineer, MIND

Seattle, WA

$139.50K - $258.10K/yr

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the ...

Chewy

Staff Machine Learning Engineer

Bellevue, WA · On-site

$186.50K - $297.50K/yr

At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Staff Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite ...

Adobe

Senior Machine Learning Engineer

Seattle, WA · On-site

$172.50K - $306.63K/yr

What You'll Do As a Senior Machine Learning Engineer on the Content Intelligence team, you will lead the development of ML models and systems, to assist with Content Understanding. You will work ...

Axon

Senior Machine Learning Engineer

Seattle, WA · Hybrid

$139.40K - $183.80K/yr

Manager, Machine Learning Engineering * Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping the Axon of tomorrow. * Architect and develop secure ...

Chewy

Staff Machine Learning Engineer

Bellevue, WA

$186.50K - $265K/yr

At Chewy, Sponsored Ads team is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite sponsored ads. As a member to the Sponsored ...

Chewy

Staff Machine Learning Engineer

Bellevue, WA · On-site

$186.50K - $265K/yr

At Chewy, Sponsored Ads team is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite sponsored ads. As a member to the Sponsored ...

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Machine Learning Engineer Associate information

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$47.2K

$94K

$150.2K

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

As of May 29, 2026, the average yearly pay for machine learning engineer associate in Seattle, WA is $94,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $108,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.
What are the most commonly searched types of Machine Learning Engineer jobs in Seattle, WA? The most popular types of Machine Learning Engineer jobs in Seattle, WA are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Seattle, WA? For Machine Learning Engineer Associate jobs in Seattle, WA, the most frequently searched job titles are:
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Machine Learning Engineer Associate jobs near you
Principal Machine Learning Engineer

Principal Machine Learning Engineer

Microsoft

Redmond, WA • On-site

$188K - $304.20K/yr

Full-time

Posted 28 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

47th of 183 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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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

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