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Machine Learning Manager Jobs in Everett, WA (NOW HIRING)

Machine Learning Engineer

Seattle, WA

$93K - $125K/yr

We are looking for a Machine Learning Engineer to join our team of driven machine learning and ... Experience with MLOps tooling, experiment tracking, model lifecycle management, and observability ...

Senior Machine Learning Scientist

Seattle, WA · Remote

$104K - $142K/yr

Manage project scope, timelines, and communication, proactively surfacing risks and trade-offs. * Mentor junior scientists and engineers on modeling approaches, experimentation, and analytical ...

Machine Learning Engineer II

Seattle, WA · On-site

$111K - $151K/yr

In this role you will work with a high performing team of applied scientists, machine learning ... management. * You are strong communicator with the ability to establish and maintain a close ...

As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're ... Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms ...

Machine Learning Engineer II

Seattle, WA · On-site

$111K - $151K/yr

In this role you will work with a high performing team of applied scientists, machine learning ... management. * You are strong communicator with the ability to establish and maintain a close ...

Our Machine Learning and Data Science team are growing! We are looking to hire researchers and data ... Partner closely with product managers, engineers, and business stakeholders to understand ...

Machine Learning Engineer

Seattle, WA · On-site

$165K - $209K/yr

... product managers, and strategists experienced in AI and distributed systems.Members have the ... engineering, machine learning engineering, or related roles. * Data Pipelineexperience ...

Senior Machine Learning Engineer

Bellevue, WA · On-site +1

$149K - $245K/yr

Machine learning and deep-learning models will influence selection, relevance, ranking, click ... Exempt salary team members have unlimited PTO, subject to manager approval. Team members will ...

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Machine Learning Manager information

See Everett, WA salary details

$56.3K

$90.3K

$130.3K

How much do machine learning manager jobs pay per year?

As of Jul 17, 2026, the average yearly pay for machine learning manager in Everett, WA is $90,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,900.00 and $102,200.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Everett, WA? The most popular types of Machine Learning jobs in Everett, WA are:
What are popular job titles related to Machine Learning Manager jobs in Everett, WA? For Machine Learning Manager jobs in Everett, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Everett, WA look for? The top searched job categories for Machine Learning Manager jobs in Everett, WA are:
What cities near Everett, WA are hiring for Machine Learning Manager jobs? Cities near Everett, WA with the most Machine Learning Manager job openings:
AI & Machine Learning Communications Manager

AI & Machine Learning Communications Manager

Uw

Seattle, WA

Part-time

Posted 17 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

81st of 555 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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