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Machine Learning Engineer Associate Jobs in Seattle, WA

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 ... Machine Learning Engineer at Capital Group" We are seeking a strong software engineer with ...

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 ... Machine Learning Engineer at Capital Group" We are seeking a strong software engineer with ...

MORSE Corp

Machine Learning Engineer

Seattle, WA · On-site

$90K - $210K/yr

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer ...

Hive

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $250K/yr

Senior 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 ...

Hive

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $250K/yr

Senior 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 ...

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

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 ...

Scowtt Inc

Machine Learning Engineer I

Seattle, WA

$100K - $150K/yr

About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build, train, and deploy ML models that power our Marketing AI and AI Sales Agent products. This role is ...

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

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 ...

Metropolis

Machine Learning Engineer, Growth

Seattle, WA · On-site

$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 ...

Scowtt Inc

Machine Learning Engineer I

Seattle, WA · On-site

$100K - $150K/yr

About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build, train, and deploy ML models that power our Marketing AI and AI Sales Agent products. This role is ...

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 to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

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 to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

PitchBook Data

Sr. Machine Learning Engineer

Seattle, WA

$118.90K - $163.30K/yr

As a Senior 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 ...

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All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in Seattle, WA

Machine Learning Engineer Associate information

See Seattle, WA salary details

$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:
What job categories do people searching Machine Learning Engineer Associate jobs in Seattle, WA look for? The top searched job categories for Machine Learning Engineer Associate jobs in Seattle, WA are:
Machine Learning Engineer Associate 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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