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Junior Machine Learning Engineer Jobs in Monroe, WA

The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office collaboration. This ...

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ... Provide mentorship to and help onboard junior ML engineers * Collaborate cross-functionally with ...

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ... Provide mentorship to and help onboard junior ML engineers * Collaborate cross-functionally with ...

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

Machine Learning Engineer II Why We Have This Role We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize ...

Machine Learning Engineer II Why We Have This Role We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize ...

New

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

Mentor junior engineers and contribute to team knowledge-sharing, best practices, and internal ... machine learning models (LLMs and agentic workflows) in a microservice environment using Docker ...

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning ...

The Chewy Sponsored Ads team is looking for a Senior Machine Learning Engineer in Bellevue, WA to ... mentoring junior scientists. * Deploy solutions at Chewy scale improving overall customer ...

Machine Learning Engineer III

Bellevue, WA · On-site +1

$148K - $225K/yr

The Chewy Sponsored Ads team is looking for a Senior Machine Learning Engineer in Bellevue, WA to ... mentoring junior scientists. * Deploy solutions at Chewy scale improving overall customer ...

The role We're adding Senior Machine Learning Engineer to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a ...

The role We're adding Senior Machine Learning Engineer to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a ...

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 ...

Showing results 21-40

Junior Machine Learning Engineer information

See Monroe, WA salary details

$35.4K

$75.8K

$115.7K

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

As of Sep 8, 2026, the average yearly pay for junior machine learning engineer in Monroe, WA is $75,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $84,500.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What cities near Monroe, WA are hiring for Junior Machine Learning Engineer jobs?

Cities near Monroe, WA with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Monroe, WA as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 80% In-person, 5% Hybrid, and 15% Remote job distribution, with an average salary of $75,838 per year, or $36.5 per hour.

Machine Learning Engineer III

Electronic Arts

Kirkland, WA • On-site

$125 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Key responsibilities

  • Design, build, and maintain scalable data ingestion, transformation, and feature pipelines for machine learning workflows related to fraud and anti-cheat systems.

  • Own and operate production data and machine learning infrastructure, including data processing, feature generation, training workflows, and inference pipelines.

  • Partner with data scientists to productionize machine learning models, ensuring data consistency, quality, and reliable feature computation.


Job description

Locations

Kirkland, Washington, United States of America

  • Kirkland
  • Washington
  • United States of America
  • Vancouver
  • British Columbia
  • Canada
  • Austin
  • Texas
  • United States of America

Role ID

212201

Worker Type

Regular Employee

Studio/Department

CT - Security

Work Model

Hybrid

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

Central Technology is the force multiplier, accelerating creative opportunity and progress at EA. We’re a world-class community of technologists, innovators, strategists, and orchestrators transforming interactive entertainment. Together, we power the platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock bold new possibilities.

EA Security protects our players, employees, products, and platforms. We set security standards, support game and enterprise teams, assess risk across partners and systems, and ensure compliance with global requirements. Our work strengthens system integrity, supports fair play, and enables teams to build and operate securely at scale.

The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office collaboration. This role focuses on building and operating production-grade data and machine learning infrastructure that enables data scientists and analysts to deliver fraud detection, anti-cheat, and account security solutions across EA games.

Responsibilities
  • -Design, build, and maintain scalable data ingestion, transformation, and feature pipelines that support machine learning workflows for fraud and anti-cheat systems.
  • -Own and operate production data and machine learning infrastructure, including batch and near-real-time data processing, feature generation, training workflows, and inference pipelines.
  • -Partner with data scientists to productionize machine learning models, with a strong focus on data consistency, data quality, and reliable offline and online feature computation.
  • -Ensure data and machine learning pipelines are reliable, repeatable, observable, and cloud agnostic across environments.
  • -Contribute to architectural standards, platform design decisions, and engineering best practices as a senior individual contributor within EA Player Security Data Labs.
Qualifications
  • -Five or more years of professional experience in data engineering, machine learning engineering, or a closely related role with production ownership.
  • -Strong proficiency in Python and SQL, with demonstrated experience building and maintaining large-scale, production-grade data pipelines. Rust Experience a Plus.
  • -Experience designing and operating data-intensive systems using modern programming languages, including Rust.
  • -Hands-on experience supporting end-to-end machine learning workflows, with an emphasis on data preparation, feature pipelines, and model deployment infrastructure.
  • -Experience working in cloud environments such as AWS or GCP, including large-scale data processing systems.
  • -Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • -Experience with CI/CD systems and production deployment workflows, including GitLab.
  • -Experience with Terraform and Spark
Why You Will Enjoy This Role

You will work on data and machine learning systems that protect millions of players from fraud and cheating.

You will operate as a senior individual contributor with strong technical ownership and autonomy.

You will design and build core data infrastructure that powers machine learning across EA Player Security.

Why We Are Excited About This Role

We build systems that directly protect player trust and fair play across EA games.

We value strong data engineering fundamentals and production-focused machine learning.

We support senior engineers with autonomy and opportunities to shape long-term technical direction.

Pay Transparency - North America COMPENSATION AND BENEFITS

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES
  • * Washington (depending on location e.g. Seattle vs. Spokane) *$122,300 - $158,500 USD

Pay is just one part of the overall compensation at EA.

In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

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