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Manager Learning Development Jobs in Bothell, WA

Axon

Senior Machine Learning Engineer II

Seattle, WA · Hybrid

$139K - $183K/yr

... development of a new machine learning models and AI capabilities, leading to better and more ... Experience with AI on chips, on device model deployment and management. * Proficiency in python, C ...

Comtech, LLC

Software Development Manager

Seattle, WA

$140K - $185K/yr

Apart from the machine learning challenges on rich video data sets, we also deal with core ... 2 years software development engineer management experience * Strong verbal and written ...

Comtech, LLC

Software Development Manager

Seattle, WA

$140K - $185K/yr

Apart from the machine learning challenges on rich video data sets, we also deal with core ... development engineer management experience Strong verbal and written communication skills and ...

Axon

Principal Machine Learning Engineer

Seattle, WA · On-site

Experience with AI on chips, on device model deployment and management. * Proficiency in python, C ... Learning & Development programs * Employee Resource Groups (ERGs) * And yes, we have snacks in our ...

Deloitte

Cornerstone Senior Manager

Seattle, WA · On-site

... Human Resources, Learning and Development, and Information Technology * Leading design ... Managing and developing teams of analysts, consultants, senior consultants, and managers through ...

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All JobsLearning Development JobsManager Learning Development JobsManager Learning Development Jobs in Bothell, WA

Manager Learning Development information

See Bothell, WA salary details

$57K

$111.5K

$150.4K

How much do manager learning development jobs pay per year?

As of Jul 9, 2026, the average yearly pay for manager learning development in Bothell, WA is $111,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $129,100.00 per year, depending on experience, location, and employer.

How does a Manager of Learning and Development typically collaborate with other departments to identify training needs?

A Manager of Learning and Development regularly partners with leaders across departments to assess skill gaps, gather feedback, and align training programs with organizational goals. This often involves conducting needs assessments, participating in strategic meetings, and analyzing performance metrics to ensure learning initiatives support both employee growth and business objectives. Effective collaboration ensures that learning solutions are relevant, timely, and tailored to the unique challenges each department faces.

What is the difference between Manager Learning Development vs Learning and Development Specialist?

AspectManager Learning DevelopmentLearning and Development Specialist
CredentialsBachelor's degree, certifications in training or HR (e.g., CPLP)Bachelor's degree, certifications in training or HR (e.g., CPLP)
Work EnvironmentOversees teams, strategic planning, higher-level managementDelivers training, develops content, supports learning programs
Employer & Industry UsageCorporate, educational, nonprofit sectorsCorporate, educational, nonprofit sectors
Search & Comparison IntentLooking for leadership roles in learning developmentSeeking roles focused on training delivery and content creation

The main difference is that the Manager Learning Development oversees learning strategies and manages teams, while the Learning and Development Specialist focuses on delivering training and developing learning content. Both roles require similar credentials but differ in scope and responsibilities within organizations.

What does a Manager of Learning and Development do?

A Manager of Learning and Development is responsible for overseeing the training and professional growth initiatives within an organization. They design, implement, and evaluate programs that help employees improve their skills and knowledge. This role often involves assessing training needs, managing budgets, collaborating with department heads, and measuring the effectiveness of learning solutions. Ultimately, the goal is to support organizational goals by ensuring employees are well-trained and continuously developing.

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

To thrive as a Manager of Learning and Development, you need expertise in instructional design, adult learning principles, project management, and typically a degree in education, HR, or a related field. Familiarity with Learning Management Systems (LMS), e-learning authoring tools, and relevant certifications like CPLP or ATD are commonly required. Strong communication, leadership, and stakeholder management skills help you drive engagement and foster a culture of continuous learning. These abilities ensure effective development programs that support organizational growth and employee performance.
What are the most commonly searched types of Learning Development jobs in Bothell, WA? The most popular types of Learning Development jobs in Bothell, WA are:
What are popular job titles related to Manager Learning Development jobs in Bothell, WA? For Manager Learning Development jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Manager Learning Development jobs in Bothell, WA look for? The top searched job categories for Manager Learning Development jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Manager Learning Development jobs? Cities near Bothell, WA with the most Manager Learning Development job openings:
Manager Learning Development jobs near you
Infographic showing various Manager Learning Development job openings in Bothell, WA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $111,452 per year, or $53.6 per hour.
Senior Machine Learning Engineer II

Senior Machine Learning Engineer II

Axon

Seattle, WA • Hybrid

$139K - $183K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Axon rating

8.8

Company rating: 8.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

8th of 141 rated electronics manufacturers

Job description

Your Impact

Are you passionate about AI? Do you love engineering solutions enabling fast, cutting-edge science? Are you eager to contribute to building products impacting the world for the greater good?
As a ML Engineer at Axon, you will contribute to architecting and implementing the platform used by Axon scientists to bring safe, secure, reliable AI features to Axon devices. Collaborating closely with scientists and device engineers, you will enable new AI capabilities for Axon products (Fleet, Axon Body, Axon Air, and more). You will also make sure As part of a multidisciplinary team, you will be exposed to a wide range of domains and applications: from Automatic License Plates Recognition to Object Tracking and Automatic Speech Recognition.
The ideal candidate will have a consistent track record of successfully optimizing models for the edge and deploying AI models at the edge, including on device with limited memory & connectivity, to serve users world wide. They will understand the AI lifecycle and be capable of supporting scientists end-to-end along the development of a new machine learning models and AI capabilities, leading to better and more responsible AI solutions. They are willing to be bold and stand up to support the team in enabling features transforming the life of officers, and driving a positive impact in the public safety space.

What You'll Do

Location: Hybrid from Seattle, WA
Reports to: Senior Director, AI Platform Engineering
Direct Reports:

  • Architect and develop secure, privacy-preserving, on device solutions to enable the continuous improvement of existing AI models.
  • Collaborate with scientists in architecting and implementing state-of-the-art edge distributed training techniques.
  • Implement on device monitoring solutions used for continuous model improvement
  • Implement innovative model compression solutions to enable AI at the edge.
  • Impact the team by bringing your own expertise and deep knowledge of the state-of-the-art to introduce new techniques leading to tangible impact in terms of model fairness, performance, and platform scalability.
What You Bring
  • Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
  • 10+ years of software engineering experience and a proven track record of successfully architecting and maintaining large-scale distributed platforms.
  • Experience with AI on chips, on device model deployment and management.
  • Proficiency in python, C++, familiarity with ML frameworks such as TensorFlow, or PyTorch.
  • Advanced knowledge and hands-on experience with on chips development.
  • Excellent problem solving skills and ability to dive into system architecture, design, performance metrics, code, test plans, project plans, deployments and operations
  • Comfort communicating and interacting with scientists, engineers and product managers.

Preferred

  • Master's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
  • Hands-on experience in solving Computer Vision or Natural Language Understanding problems in a business setting.
  • Familiarity with responsible AI, de-biasing, model encryption and de-identification techniques.
Benefits that Benefit You
  • Competitive salary and 401k with employer match
  • Discretionary paid time off
  • Paid parental leave for all
  • Medical, Dental, Vision plans
  • Fitness Programs
  • Emotional & Mental Wellness support
  • Learning & Development programs
  • Employee Resource Groups (ERGs)
  • And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

#LI-Hybrid

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