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

PACCAR

Associate Data Scientist

Bellevue, WA

$66K - $66K/yr

As an Associate Data Scientist within the Portfolio Risk and Analysis Group, you will provide ... Experience with machine learning models (e.g., gradient boosting, random forests, XGBoost/LightGBM)

PACCAR

Associate Data Scientist

Bellevue, WA · On-site

$66K - $66K/yr

As an Associate Data Scientist within the Portfolio Risk and Analysis Group, you will provide ... Experience with machine learning models (e.g., gradient boosting, random forests, XGBoost/LightGBM)

PACCAR

Associate Data Scientist

Bellevue, WA

$66K - $67K/yr

As an Associate Data Scientist within the Portfolio Risk and Analysis Group, you will provide ... Experience with machine learning models (e.g., gradient boosting, random forests, XGBoost/LightGBM)

Pwc

AI Engineer

Seattle, WA · On-site

$50K - $112K/yr

... Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate ...

PACCAR Inc

Data Scientist

Renton, WA · On-site

$104.10 - $146.63/hr

... machine learning models and workflows. Additionally, you'll support others by being a technical lead in order to support the development of other Associate Data Scientists. This position is part of ...

Walmart

Senior, Data Scientist

Seattle, WA · On-site

The team consists of collaborative data scientists and machine learning engineers skilled in ... Experience mentoring junior associates and collaborating cross-functionally to deliver impactful ...

Vizio

Senior, Data Scientist

Renton, WA · On-site

$108K - $216K/yr

The team consists of collaborative data scientists and machine learning engineers skilled in ... Experience mentoring junior associates and collaborating cross-functionally to deliver impactful ...

Vizio

Senior, Data Scientist

Issaquah, WA · On-site

$108K - $216K/yr

The team consists of collaborative data scientists and machine learning engineers skilled in ... Experience mentoring junior associates and collaborating cross-functionally to deliver impactful ...

Vizio

Senior, Data Scientist

Kent, WA · On-site

$108K - $216K/yr

The team consists of collaborative data scientists and machine learning engineers skilled in ... Experience mentoring junior associates and collaborating cross-functionally to deliver impactful ...

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Showing results 1-20

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 Aug 25, 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 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 are the key skills and qualifications needed to thrive as an associate machine learning engineer?

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 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:

Associate Machine Learning jobs near you
Infographic showing various Associate Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 79% Full Time, 16% Part Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $151,428 per year, or $72.8 per hour.

Senior Machine Learning Engineer

Seattle, WA • On-site

Geico
Insurance Services • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 363 frontline employees who took The Breakroom Quiz

167th of 311 rated insurance

Good employer

Recommended by students

Paid breaks

Learn more about Geicoexternal

$115K - $230K/yr

Full-time

Re-posted 4 days ago

Job description

Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.

Overview:We are seeking an accomplished Senior ML Engineerto serve as an individual contributor to thegenerative AI space at GEICO. In this role,you will be collaborating with a dynamic team of AI and software engineers to design, develop,and deploy systems thatdrive business value. Yourpassion forscalability, reliability,and usability ofgenerativeAIworkflowsand approacheswill allow you toprovidehands-on guidance, ensure architectural excellence, and lead by example to solve complex, large-scale, cross-functional problems.

Responsibilities:

  • Contribute to thedesign, development and maintenance of high-performance AI solutions thatutilizeagentic workflows to deliver concrete business value for internal stakeholders. Examples include knowledge assistants,voice/text-basedconversational AI solutions,document/audioprocessing copilots, voice agents,robotic process automation,etc.

  • Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements,helpdefine projectscopeand prioritize feature backlogs.Executepragmatic technical visions & roadmaps that balance business outcomes, product releasetimelinesand engineering excellence.

  • Integrateand buildsolutionsusingGEICOAI platform architecture. Partner with platform teams to communicate requirements, understand current capabilitiesand gaps, andcontribute to platform development.

  • Workon first-of-its-kind solutions within GEICO, with a deep understanding of business and technical processes, applications, andarchitecture toguide development.

  • Participate inproject planning and stakeholder management, ensuring the efficient allocation of resources andtimelydelivery of solutions.

  • Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture.

Basic Qualifications

  • 5years of experience designing and buildingscalable productionAIMLapplicationsand systemsin cloud environments,

  • Proficient in Python,Javaand similar general-purpose programming languages.

  • 3years managing end-to-endsoftware development life cycle (e.g.CICD pipelines, Kubernetes-based deployments, testing,monitoring& alerting, production support etc.) for backend systems and APIs

  • 2years in training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs

  • 2years owning end-to-end development, monitoring, maintenance, andcontinuous improvementof scalable, robust AIML applications.

  • Bachelor's degree or abovein Computer Science, Engineering,Statisticsor a related field

PreferredQualifications:

  • 2yearsinterfacing directly withinternal business stakeholders and/or external stakeholders on AIML initiatives

  • 2yearsworking withcloud providersolutionssuch as Azure and AWS

  • 2years with tools that power LLM-based AI agents: eval frameworks, agent tooling, RAG pipelines, prompt engineering, etc.

  • Strong communicationand problem-solving skills to excel in dynamic, cross-functional and ambiguous decision-making environments


Annual Salary

$115,000.00 - $230,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.


GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.


The GEICO Pledge:

Great Company:Protecting customers through life's twists and turns with innovation and integrity.

Great Careers:Personalized development programs, mentorship, and certification assistance.

Great Culture:Inclusive and collaborative culture rooted in shared success.

Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

GEICO logo

About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936

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Benefits

Hours and flexibility

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