ZipRecruiter

Log In

1

Service Learning Jobs in Seattle, WA (NOW HIRING)

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

... services, ideally within a robotics or autonomous field equipment platform • Experience with deep learning frameworks, particularly PyTorch, and proficiency in C++ for performance-critical model ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA

$140K - $220K/yr

Hands-on experience working across the software stack, including sensor integration and web services, ideally within a robotics or autonomous field equipment platform * Experience with deep learning ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... internal data labeling services * Utilize OWASP top 10 techniques to secure code from ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... internal data labeling services * Utilize OWASP top 10 techniques to secure code from ...

Microsoft

Principal Product Manager

Redmond, WA · On-site

Establishing the architectural direction for agent execution environments, sandboxing, memory systems, service models, orchestration frameworks, and cross-service learning capabilities. * Driving the ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

$140K - $220K/yr

Hands-on experience working across the software stack, including sensor integration and web services, ideally within a robotics or autonomous field equipment platform * Experience with deep learning ...

Apple

Machine Learning Engineer

Seattle, WA

$175K - $308K/yr

... Learning researchers and engineers to discover and build solutions to previously-unsolved ... and free services, and for formal education related to advancing your career at Apple ...

Factspan Inc

Machine Learning Engineer

Seattle, WA

Our clients include Fortune 500 companies in Retail, Financial Services, Hospitality and Technology sectors. * Work with large, complex data sets. Solve difficult, non-routine analysis problems ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Our clients include Fortune 500 companies in Retail, Financial Services, Hospitality and Technology sectors. * Work with large, complex data sets. Solve difficult, non-routine analysis problems ...

PitchBook Data

Machine Learning Engineer

Seattle, WA

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role ... Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a ...

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

Our extensive learning programs and mentorship opportunities help us create a culture of curiosity ... Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a ...

previous page

Showing results 41-60

All JobsService Learning JobsService Learning Jobs in Seattle, WA

Service Learning information

See Seattle, WA salary details

$23.9K

$70.2K

$130.3K

How much do service learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for service learning in Seattle, WA is $70,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $81,900.00 per year, depending on experience, location, and employer.

What is service learning?

Service learning is an educational approach that combines academic instruction with meaningful community service. Through this method, students participate in organized activities that address community needs while also reflecting on their experiences to gain further understanding of course content and civic responsibility. Service learning aims to foster personal growth, social awareness, and practical skills by integrating real-world service with classroom learning.

What are the key skills and qualifications needed to thrive as a service learning coordinator?

To thrive as a Service Learning Coordinator, you need a background in education, program management, and community engagement, often supported by a relevant degree. Familiarity with project management tools, learning management systems, and assessment software is typically required. Strong communication, organizational, and relationship-building skills set outstanding candidates apart. These skills ensure effective collaboration, successful program implementation, and meaningful learning experiences for participants.

What are some common challenges faced by professionals coordinating service learning programs, and how can they be addressed?

Professionals overseeing service learning programs often encounter challenges like aligning academic objectives with meaningful community service, managing logistics for multiple participants, and ensuring strong communication between students, faculty, and community partners. These challenges can be addressed by setting clear expectations, regularly assessing partnership goals, and establishing structured reflection sessions for participants. Utilizing project management tools and fostering open dialogue with all stakeholders also helps maintain program effectiveness and satisfaction.

What is the difference between Service Learning vs Community Service Coordinator?

AspectService LearningCommunity Service Coordinator
Required CredentialsTypically none or minimal; sometimes related to education or social workOften requires a degree in social work, education, or related fields
Work EnvironmentEducational settings, community organizations, non-profitsNon-profit organizations, government agencies, community centers
Employer & Industry UsageSchools, universities, community programsNon-profits, local government, social service agencies
Common Search & Comparison IntentUnderstanding educational or volunteer activitiesOrganizing community projects or volunteer programs

Service Learning involves educational activities combining community service with classroom instruction, focusing on student development. Community Service Coordinator manages volunteer programs and community projects, often requiring specific social work or related credentials. While both roles serve community needs, Service Learning emphasizes educational integration, whereas Community Service Coordinators focus on organizing and overseeing volunteer efforts.

What are the most commonly searched types of Service Learning jobs in Seattle, WA?

The most popular types of Service Learning jobs in Seattle, WA are:

What are popular job titles related to Service Learning jobs in Seattle, WA?

For Service Learning jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Service Learning jobs in Seattle, WA look for?

The top searched job categories for Service Learning jobs in Seattle, WA are:

Service Learning jobs near you
Infographic showing various Service Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 57% Full Time, 29% Part Time, and 14% Temporary. Highlights an 100% In-person job distribution, with an average salary of $70,206 per year, or $33.8 per hour.

Deep Learning Engineer

Carbon Robotics

Seattle, WA • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Carbon Robotics is an innovative company focused on revolutionizing agriculture through advanced robotics and AI technology. As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for autonomous laser weeding robots, ensuring high performance and scalability in agricultural environments.
Responsibilities:
• Lead the design and execution of experiments to develop and validate novel deep learning architectures for computer vision in agricultural environments
• Own model optimization and deployment pipelines — ensuring high performance, reliability, and scalability across operational field deployments
• Drive end-to-end ML workflows from data strategy and pipeline design through evaluation and production deployment
• Define best practices for experimentation, documentation, and model evaluation within the team
• Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact features
• Mentor and provide technical guidance to mid-level and junior engineers
• Communicate model architecture decisions, tradeoffs, and performance results to both technical and non-technical audiences
Qualifications:
Required:
• 2-4 years of professional experience designing and implementing novel deep learning architectures for production computer vision systems
• Deep understanding of foundational deep learning mathematics and the ability to apply first-principles thinking to architecture decisions
• Hands-on experience working across the software stack, including sensor integration and web services, ideally within a robotics or autonomous field equipment platform
• Experience with deep learning frameworks, particularly PyTorch, and proficiency in C++ for performance-critical model development and deployment
• Proven track record taking ML projects from inception through business impact — including data strategy, pipeline development, experimentation, and deployment at scale
• Strong expertise in modern object detection techniques (vision transformers, anchor-free detectors, embeddings, and beyond)
• Experience in autonomous driving or ADAS is a plus — background in perception pipelines, sensor fusion, or real-time inference in outdoor or unstructured environments is highly valued
• Comfort navigating ambiguity and making principled technical decisions in rapidly evolving technical landscapes
• Strong verbal and written communication skills — able to explain complex model behavior and tradeoffs to non-technical staff and customers
• Experience mentoring engineers and contributing to team technical culture
• 2-7 years of experience in deep learning model optimization and deployment
• BS+ in Computer Science, Machine Learning, or a related field (or equivalent experience)
• We're a collaborative, in-person team — this role is based in our Seattle office with at least 4 days per week on-site
Preferred:
• Experience in autonomous driving or ADAS is a plus — background in perception pipelines, sensor fusion, or real-time inference in outdoor or unstructured environments is highly valued
Company:
Carbon Robotics is revolutionizing agriculture with AI and robotics to reduce costs and increase yields Founded in 2018, the company is headquartered in Seattle, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Apply