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Participate Learning Jobs in Kansas (NOW HIRING)

Senior Machine Learning Engineer

Wichita, KS · On-site

$93K - $128K/yr

They will leverage a variety of machine learning approaches to process very large streams of ... Employees may be called upon to participate in in-person meetings, training, or company functions ...

Social Worker - Integrated Learning Disabilities Location: Hackney Pay Rate: 32 per hour Liquid ... Participate in multi-disciplinary meetings, case conferences, and best interest decisions

Sr Manager FP&A

Leawood, KS · On-site +1

$106K - $144K/yr

S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2025 ... Most regular, full-time employees are eligible to participate in an Ascend incentive bonus or sales ...

S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2025 ... Most regular, full-time employees are eligible to participate in an Ascend incentive bonus or sales ...

S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2025 ... Lead and/or participate in item review meetings with internal or external subject matter experts.

From testing to certification, Ascend Learning products are used by physicians, emergency medical ... Work with developers to improve testability and observability Participate in the end-to-end testing ...

Senior Systems Engineer

Leawood, KS · On-site

$101K - $139K/yr

S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2025 ... Ability to work weekends/nights on occasion for maintenance and to participate in on-call support ...

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Participate Learning information

See Kansas salary details

$9.8K

$74.8K

$124.9K

How much do participate learning jobs pay per year?

As of Jul 21, 2026, the average yearly pay for participate learning in Kansas is $74,813.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $124,000.00 per year, depending on experience, location, and employer.

What are the main responsibilities and collaborative aspects of working as a teacher with Participate Learning's global education programs?

As a teacher with Participate Learning, you will typically be responsible for delivering curriculum content while incorporating global perspectives and cultural exchange in the classroom. The role involves close collaboration with local teaching staff, school administrators, and fellow international educators to enrich students’ learning experiences. Teachers are also expected to contribute to school community activities and professional development sessions, fostering a supportive environment for both students and colleagues. This collaborative and multicultural setting offers opportunities to develop new teaching strategies, gain international experience, and advance your career in global education.

What are the key skills and qualifications needed to thrive as a teacher with Participate Learning, and why are they important?

To thrive as a teacher with Participate Learning, you need a teaching degree, state certification, and a strong understanding of curriculum development and classroom management. Familiarity with digital learning platforms, educational technology, and assessment tools is typically required. Cultural adaptability, strong communication, and collaboration skills help teachers engage diverse student populations and work effectively in international settings. These abilities are crucial for fostering a positive learning environment and achieving educational outcomes in globally-minded classrooms.

What is Participate Learning?

Participate Learning is an educational organization that partners with schools and districts to provide global education programs, including international teacher exchange, dual language immersion, and global leadership development. Their primary focus is to bring experienced international educators into U.S. classrooms to promote cultural exchange and global awareness among students. Participate Learning supports teachers through professional development, resources, and a supportive community, aiming to enrich education by fostering cross-cultural understanding.

What is the difference between Participate Learning vs ESL Teacher?

AspectParticipate LearningESL Teacher
CredentialsTeaching certification, TESOL/TEFLTeaching certification, TESOL/TEFL
Work EnvironmentInternational schools, cultural exchange programsLanguage schools, public/private schools, online platforms
Industry UsageGlobal education programs, cultural immersionLanguage instruction, ESL programs

Participate Learning and ESL Teachers both require teaching certifications and often work in educational settings focused on language and cultural exchange. While Participate Learning emphasizes international programs and cultural immersion, ESL Teachers primarily focus on language instruction within local or online classrooms. Both roles serve the education industry but differ in scope and environment.

What are popular job titles related to Participate Learning jobs in Kansas? For Participate Learning jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Participate Learning jobs in Kansas look for? The top searched job categories for Participate Learning jobs in Kansas are:
What cities in Kansas are hiring for Participate Learning jobs? Cities in Kansas with the most Participate Learning job openings:
Infographic showing various Participate Learning job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $74,813 per year, or $36 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Knowmadics

Wichita, KS • On-site

$93K - $128K/yr

Full-time

Re-posted 11 days ago


Job description

Candidate should live within driving distance of the following areas: Wichita, KS; Lawton OK; or Round Rock, TX
Job Purpose/Summary
The Machine Learning Engineer will build and integrate machine learning solutions into our next-generation space and critical infrastructure defense capabilities. They will leverage a variety of machine learning approaches to process very large streams of unstructured data in real time in scalable and secure cloud-native environments. As the first dedicated internal Machine Learning Engineer for this product, they will play a critical role in requirements generation, team leadership, and influencing the future of our products.
This is a demanding product development role, not a research position. Success on year one involves the design, training, optimization, validation and implementation of high-performance inference pipelines at scale.The role will play a key part in building and delivering initial machine learning capabilities for our MVP offering and may evolve over time to include involvement in hiring and mentorship as the team grows.
Duties and Responsibilities
  • Lead the development + implementation of real-time feature detection and anomaly detection models
  • Generate data characteristic requirements for real-time data processing pipelines
  • Prepare technical documentation, reports, and specifications
  • Collaborate with cross-functional teams including project managers, technicians, and other engineers
  • Perform testing, troubleshooting, and quality assurance on systems or products
  • Ensure compliance with safety regulations, industry standards, and company policies

Qualifications
  • 7-10 YoE as a SWE or ML engineer building applied research and/or production technologies
  • Expertise on building production training and inference pipelines in python
  • A strong familiarity and personal preference for one or more deep learning libraries (ex. pytorch)
  • A comprehensive understanding of systems programming (a strong proficiency in C would imply this)
  • An understanding of how ETL processing works and familiarity with some of the common tools (kafka, spark, etc.)
  • Experience building machine learning models for unstructured data types (text, imagery, RF, telemetry, etc.)
  • Experience with hardware acceleration (GPUs, CUDA) for training and inference workloads
  • Experience packaging and deploying trained inference models for use in production environments
  • Minimum education requirement: High school diploma
  • Eligible to obtain a U.S. Security Clearance - U.S. Citizenship required.

Bonus Qualifications
  • Experience integrating trained inference pipelines into scalable cloud-native infrastructure
  • Experience building backend services and implementing API endpoints for scalable infrastructure
  • Experience building technology for air-gapped production deployment environments
  • Knowledge and experience with OCI technologies (docker, kubernetes, helm etc.)
  • B.S. or M.S. in an area relevant to this role

Working conditions
  • Employees may be called upon to participate in in-person meetings, training, or company functions at Knowmadics offices or other designated locations. Travel in support of business operations may also be required, and employees are expected to comply with these obligations as part of their position.
  • Candidate should live within driving distance of the following areas: Waldorf, Md; Wichita, KS; Lawton OK; or Round Rock, TX
  • Estimated Travel: 0-10%

Physical requirements
May include sitting or standing for extended periods, working with computers and technical equipment, and occasionally lifting or moving materials or tools.
Direct reports
None