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Participate Learning Jobs in Somerville, MA (NOW HIRING)

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications ... Opportunity to participate in a company incentive plan What you'll do on a typical day: * Build and ...

Lead Machine Learning Engineer

Boston, MA

$111K - $146K/yr

You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine ...

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications ... Opportunity to participate in a company incentive plan What you'll do on a typical day: * Build and ...

Lead Machine Learning Engineer

Boston, MA

$111K - $146K/yr

You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine ...

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine ...

Job Summary We have an open position for a computer science/machine-learning postdoctoral fellow to ... participate in the job application or interview process, to perform essential job functions, and to ...

Showing results 21-40

Participate Learning information

See Somerville, MA salary details

$12K

$91.5K

$152.8K

How much do participate learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for participate learning in Somerville, MA is $91,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,600.00 and $151,700.00 per year, depending on experience, location, and employer.

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 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 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 job categories do people searching Participate Learning jobs in Somerville, MA look for?

The top searched job categories for Participate Learning jobs in Somerville, MA are:

What cities near Somerville, MA are hiring for Participate Learning jobs?

Cities near Somerville, MA with the most Participate Learning job openings:

Infographic showing various Participate Learning job openings in Somerville, MA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $91,543 per year, or $44 per hour.

Senior Machine Learning Engineer Ai/Machine Learning/Boston

Motion Recruitment Partners, LLC

Boston, MA • On-site

$133K - $175K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Job description


A full-service product development consultancy specializing in medical devices, robotic systems, and automation is hiring a Senior Machine Learning Engineer. In this position, you'll be responsible for owning the entire ML lifecycle, transforming raw sensor data into reliable models that run on constrained hardware. You will collaborate closely with embedded, hardware, and software teams to design and implement data pipelines, as well as optimize and deploy models for signal processing and anomaly detection on real-world devices.
As a core team member, you'll also help build out MLOps infrastructure, participate in sensor selection and integration, and ensure seamless validation and delivery of AI features within device software. You'll document model development to support both internal quality processes and regulatory submissions, ensuring your solutions are robust, maintainable, and production ready.
Required Skills & Experience
  • Strong proficiency in Python
  • Hands on experience in PyTorch or TensorFlow
  • Experience deploying models to edge using TFLite, ONNX, CoreML, TensorRT, or equivalent
  • Experience building sensor data pipelines
  • Proficiency with MLOps
  • Solid Software engineering fundamentals
  • Proficiency in C or C++
Desired Skills & Experience
  • 5 years of machine learning engineering or applied ML
  • Experience with physiological signal processing for medical or wearable applications
  • Background in robotics, or autonomous systems
  • Experience in a startup or small team
  • Degree in a relevant field
What You Will Be Doing
Daily Responsibilities
  • 100% Hands On
  • Develop and troubleshoot workflows for collecting, cleaning, and organizing sensor data.
  • Build and refine ML models for real-time device applications and performance improvements
  • Work closely with firmware teams to embed and test AI features on hardware platforms
  • Set up and oversee tools for tracking experiments, automating evaluations and managing deployments
  • Analyze model behavior, ensure reliability and resolve issues to maintain high-quality outputs
The Offer
  • Bonus OR Commission eligible
You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k) {including match - if applicable}
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.