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Associate Machine Learning Jobs in Seattle, WA (NOW HIRING)

Capgroup

Senior Machine Learning Engineer

Seattle, WA

$118.90K - $163.30K/yr

We believe that belonging leads to better outcomes and a stronger community of associates united by ... Design and implement scalable, production-quality systems that incorporate machine learning and ...

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 ... Design and implement scalable, production-quality systems that incorporate machine learning and ...

Geico

Senior Staff Machine Learning Engineer

Seattle, WA · Remote

$118.90K - $163.30K/yr

Great Company, Great Culture, Great Rewards and Great Careers GEICO is seeking a Senior Staff Machine Learning Engineer to help shape how Generative AI enhances customer and associate experiences ...

Chewy

Associate Director, Data Science

Bellevue, WA · On-site

Your Opportunity Chewy is seeking an innovative and strategic Associate Director, Data Science to ... In this role, you will lead a high-performing team of Data Scientists and Machine Learning ...

Chewy

Associate Director, Data Science

Bellevue, WA

$137.50K - $225K/yr

In this role, you will lead a team of Data Scientists and Machine Learning Engineers. You will collaborate with multi-functional partners to build, develop, and deploy machine learning and data ...

Deloitte

AI Solutions Leader

Seattle, WA · On-site

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert Company : Deloitte is a business consulting ...

New

Deloitte

AI Solutions Leader

Seattle, WA

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into ...

VIZIO

Senior, Data Scientist

Seattle, WA · On-site

... associates and collaborating cross-functionally to deliver impactful business results. Preferred : • Data science, machine learning, optimization models. • Master's degree in Machine Learning ...

Chewy

AD, Data Science

Bellevue, WA · On-site +1

$189.68K - $296K/yr

Associate Director, Data Science Bellevue, WA - Merchandising - Full time - R29785 What you'll do: * Combine deep understanding of machine learning, advanced data analysis, statistical testing, and ...

Raft

Associate AI/ML Engineer

Tacoma, WA

$125K - $200K/yr

Practical experience in Machine Learning models and Software Engineering * A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working ...

Chewy

AD, Data Science

Bellevue, WA · On-site

$189.68K - $296K/yr

Associate Director, Data Science Bellevue, WA - Merchandising - Full time - R29785 What you'll do: * Combine deep understanding of machine learning, advanced data analysis, statistical testing, and ...

Raft Company Website

Associate AI/ML Engineer

Tacoma, WA · On-site

$125K - $200K/yr

Practical experience in Machine Learning models and Software Engineering * A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working ...

Raft Company Website

Associate AI/ML Engineer

Tacoma, WA · On-site

$125K - $200K/yr

Practical experience in Machine Learning models and Software Engineering * A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working ...

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All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Seattle, WA

Associate Machine Learning information

See Seattle, WA salary details

$35.8K

$151.4K

$357.9K

How much do associate machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for associate machine learning in Seattle, WA is $151,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $229,900.00 per year, depending on experience, location, and employer.

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

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by Associate Machine Learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an Associate Machine Learning Engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the most commonly searched types of Machine Learning jobs in Seattle, WA? The most popular types of Machine Learning jobs in Seattle, WA are:
What are popular job titles related to Associate Machine Learning jobs in Seattle, WA? For Associate Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning jobs in Seattle, WA look for? The top searched job categories for Associate Machine Learning jobs in Seattle, WA are:
Associate Machine Learning jobs near you

Senior Machine Learning Engineer

Capgroup

Seattle, WA

$118.90K - $163.30K/yr

Full-time

Medical, Life, Retirement

Posted 22 days ago

Job description

"I can be myself at work."

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace.

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

"I can influence my income."

You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.

"I can lead a full life."

You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success.

  • Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options

  • Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love

  • Access on-demand professional development resources that allow you to hone existing skills and learn new ones

"I can succeed as a Machine Learning Engineer at Capital Group"

We are seeking a strong software engineer with practical machine learning experience to design, build, and operate Generative AI systems that improve Capital Group's investment process and outcomes.

You will work closely with investment professionals and engineering partners to translate ideas into reliable, production-grade systems. While curiosity and experimentation are important, this role emphasizes engineering rigor, system design, and delivering durable solutions at scale.

You will join ahigh-performingteam of ML engineers and software engineers building Generative AI and LLM-based capabilities, including multi-agent systems, semantic search, summarization, and document understanding pipelines. We value craftsmanship in software engineering, thoughtful problem solving, and a strong sense of ownership.

"I am the person Capital Group is looking for."

You will:

  • Design and implement scalable, production-quality systems that incorporate machine learning and Generative AI components.

  • Take end-to-end ownership of technical projects, from system design through implementation and operational excellence.

  • Collaborate with cross-functional partners to translate ambiguous problems into well-structured technical solutions.

  • Maintain a high bar for code quality, testing, clarity, and reliability.

  • Contribute to architectural decisions, ensuring systems are maintainable, extensible, and resilient.

  • Apply sound engineering judgment when integrating ML models into larger distributed systems.

  • Operate with urgency, ownership, humility, and strong collaboration across teams.

Required Experience

  • 8+ years of professional software engineering experience, with strong proficiency in Python (or similar modern language).

  • Demonstrated experience designing and buildinglarge scaleproduction systems with solid architectural foundations.

  • Strong understanding of system design principles, APIs, distributed systems concepts, and cloud-native development.

  • Hands-on experience integrating machine learning models into production applications or services

  • Experience with cloud platforms, CI/CD, DevOps, orMLOpspractices for deploying and monitoring applications.

  • Strong problem-solving ability - able to break down ambiguous problems into clear technical plans.

  • Proven ability to own projects independently and drive them to completion.

  • Strong communication skills and behavioral maturity; able to collaborate effectively with diverse stakeholders.

Preferred (Nice to Have)

  • Experience working with Generative AI, LLM APIs, retrieval systems, or agent-based architectures.

  • Experience with ML lifecycle tooling such as experiment tracking, model versioning, monitoring, or CI/CD for ML systems

  • Familiarity with model evaluation, monitoring, and performance trade-offs.

  • Exposure to modern ML frameworks (e.g.,PyTorch,HuggingFace, etc.).

  • Experience reviewing research papers and translating relevant ideas into practical implementations.

What We Value Most

Engineering excellence. Ownership. Sound judgment. Humility. Collaboration. Curiosity.

We are looking for a strong builder - someone who combines deep software engineering skill with the ability to thoughtfully apply machine learning techniques in real-world systems.

"I can apply in less than 4 minutes."

You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community.

"I can learn more about Capital Group."

At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor.

Southern California Base Salary Range: $226,893-$363,029Seattle Base Salary Range: $226,893-$363,029

In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

You can learn more about our compensation and benefits here.

* Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.


We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

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