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

AI Solutions Architect

Seattle, WA · On-site

$71.75 - $94.50/hr

... 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 ...

General Information

Seattle, WA · On-site

$106K - $129K/yr

Apply Machine Learning, Generative AI, and LLM-based techniques to solve real business problems ... The targeted base salary pay range for Associate Consultant is $106,000 to $129,000. In addition ...

Research Associate I

Seattle, WA · On-site

$54K - $66K/yr

Research Associate I - Synthetic Enhancer Screening The mission of the Allen Institute is to unlock ... Our mission is to apply machine learning to biological design. Join us as we build a series of ...

Research Associate I - Synthetic Enhancer Screening The mission of the Allen Institute is to unlock ... Our mission is to apply machine learning to biological design. Join us as we build a series of ...

... Associate Data Scientist required. • Experience with SQL, Python, and GitHub required. • Experience using Supervised and Unsupervised machine learning methods required. • Must be a highly ...

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

Senior, Data Scientist

Seattle, 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 ...

Senior, Data Scientist

Federal Way, 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

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 Jul 13, 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 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 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 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:
AI & Machine Learning Communications Manager

AI & Machine Learning Communications Manager

Uw

Seattle, WA

Part-time

Posted 14 days ago


University Of Washington rating

8.4

Company rating: 8.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

80th of 553 rated colleges and universities


Job description

Job Description

Collaboration Core has an outstanding opportunity for an AI & Machine Learning Communications Manager (75% FTE) to join their team.

About this Opportunity

The AI & Machine Learning Communications Manager (75% FTE) is responsible for creating and executing marketing and communications strategies for the academic and research programs of the AI & Machine Learning for Engineering Graduate Programs, AI Center for Dynamics and Control, and the NSF AI Institute in Dynamic Systems. This position interacts regularly with institute directors, faculty and research/ administrative staff across the College of Engineering, and reports to the Associate Director of Communications and External Relations.


The individual in this position utilizes independent judgment and creativity to plan new approaches, develop new resources, and pursue new opportunities for marketing and communications. Examples of these resources include news stories, websites, and social media accounts. If the skills necessary to develop and produce the proposed resource are beyond the skillset of the position, this position will work with colleagues, campus service providers and/ or independent contractors to accomplish the work, troubleshooting when necessary. New opportunities may include nominating faculty leaders for external speaking opportunities and awards or partnering with other UW units or external partners on content and events.

This position works closely with faculty and staff across the College of Engineering as well as several external academic and industry partners to collaborate on marketing and communications strategies. This position is essential to conveying the impact and research, education, and innovation missions of the supported units to the UW community, wider academic communities, prospective students, and other external stakeholders through effective communications programs. This position is responsible for establishing new functions and best practices related to communications. This position consults with Associate Director on complex problems, recommends solutions, and works to implement them. This position also establishes and uses metrics by which to measure the effectiveness of the new resources; if resources underperform, this position identifies problems and proactively suggests improvements and changes.

Key Responsibilities

Communications & Marketing (85%)

  • -Develop and manage communications and marketing strategies for the AI & Machine Learning for Engineering Graduate Programs, the AI Center for Dynamics and Control, and the NSF AI Institute in Dynamic Systems, based on program goals developed in partnership with the Director and Managing Directors.

  • Write web stories on faculty, students, and new research and collaborations.

  • Manage websites for multiple education and research programs. This includes ensuring accessibility, updating web content (program information, videos, images), and ensuring sites adhere to UW brand guidelines.

  • Establish and implement social media strategies for units: write copy and create interactive content, set goals for and monitor interaction with accounts, coordinate activity with related initiatives, programs, and departments.

  • Manage YouTube channel for the AI & Machine Learning for Engineering Graduate Programs.

  • Write, design and distribute regular print and email publications (e.g. e-newsletters, annual reports).

  • Create and distribute email campaigns targeting AI & Machine Learning for Engineering Graduate Programs' prospective students and alumni, in partnership with the Academic Services Director.

  • Write copy for and design brand-consistent marketing materials (brochures, flyers, invitations, and announcements).

  • Collaborate with relevant UW departments to place stories about units in UW publications, on websites and social media channels.

  • Develop presentations and talking points on units' achievements and plans for directors.

  • Nominate directors, faculty, and students for relevant speaking opportunities and awards.

  • Maintain strong working relationships with external affairs office, dean's office, central marketing and communications, advancement, advisory boards, and external partners to ensure smooth execution of communications strategies and special presentations, and to obtain participation and support of key constituents.

Video Project Management (10%)

  • Track and manage video recording of education modules that make up courses in the graduate certificates. This includes organizing the team that is involved in module recording, managing the module recording schedule, ensuring strategic support is provided to faculty who are recording modules, ensuring all modules are recorded in time for course offerings, and facilitating professional captioning of completed videos.

Other (5%)

  • Represent units at appropriate meetings and events to stay up to date on regulations, policies, and trends affecting work and seek training opportunities related to marketing and communications.

  • Other duties as assigned.

Required Qualifications

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.

Minimum Qualifications:

Bachelor's Degree in Communications, English or other related field

At least two years managing communications programs in an academic research environment or engineering, or technology-focused organization or company, or related field.

Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Manager.

Additional Qualifications:

Excellent written, verbal and interpersonal communication skills.

Ability to translate technical subject matters for a general audience.

Ability to use social media platforms to effectively and responsibly communicate brand message.

Experience managing websites.

Experience working in WordPress or Drupal.

Advanced knowledge of MS Office: Outlook, Excel, Access, Word.

Working knowledge of Adobe products: Photoshop, Acrobat Professional, InDesign.

Competence in HTML and content management systems; ability to communicate effectively about web and internet related topics with technical and non-technical audiences.

Attentive to detail and able to work independently with limited oversight.

Demonstrated ability to work effectively and cooperatively in a diverse workplace.

Demonstrated creativity, problem solving and analytical skills.

Proven organization and multi-tasking skills in a fast-paced environment.

Preferred Qualifications:

Ability to quickly learn and use new software packages effectively.

Competence in SEO (search engine optimization) techniques.

Knowledge of news and developments in artificial intelligence and machine learning.

Working Conditions:

Occasional travel outside UW, but within Seattle, for events hosted by partners. Potential for weeknight and weekend event attendance. Participation in occasional evening events.

About the Team

The Collaboration Core is an administrative unit within the UW College of Engineering dedicated to supporting interdisciplinary institutes, centers, and facilities. Designed for flexibility, it adapts to emerging opportunities and evolving needs while delivering exceptional operational support to multiple research units.

Supported by the College of Engineering and its participating units, the Collaboration Core centralizes operations, coordinates staffing, and provides specialized expertise in research administration, education, communications, and event management. It also serves as a resource for units across the college and beyond, offering guidance on managing collaborative research and educational efforts.

Compensation, Benefits and Position Details

Pay Range Minimum:

$78,000.00 annual

Pay Range Maximum:

$91,164.00 annual

Other Compensation:

-

Benefits:

For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/

Shift:

First Shift (United States of America)

Temporary or Regular?

This is a regular position

FTE (Full-Time Equivalent):

75.00%

Union/Bargaining Unit:

Not Applicable

About the UW

Working at the University of Washington provides a unique opportunity to change lives - on our campuses, in our state and around the world.

UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.

Our Commitment

The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81.

To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu.

Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.


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