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Explore Learning Jobs in California (NOW HIRING)

Harvest Christian Fellowship

Teacher

Riverside, CA · On-site

$45K - $65K/yr

Provide a variety of materials and resources for children to explore, manipulate and use, both in learning activities and in imaginative play. * Facilitate student learning by supplementing regular ...

Stellic

Product Lead, Explore

San Mateo, CA · On-site

$200K - $220K/yr

Stellic's Explore product is our newest and most open frontier. It's focused on the transfer ... You'll be in the room - on calls, on-site when needed - learning how transfer processes actually ...

MiraCosta College

Learning Coach (Part-time)

Oceanside, CA · On-site

$22/hr

Posting Summary Job Title Learning Coach (Part-time) Type of Assignment Classified/Staff Assignment ... Explore our Mission, Vision, and Institutional Goals to learn more about our commitment to student ...

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$26

$40

$68

How much do explore learning jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for explore learning in California is $40.16, according to ZipRecruiter salary data. Most workers in this role earn between $29.18 and $52.21 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Explore Learning Tutor, and why are they important?

To thrive as an Explore Learning Tutor, you need strong subject knowledge in English and/or Maths, typically supported by a degree or ongoing university study. Familiarity with interactive educational platforms, digital learning tools, and assessment systems is important for delivering engaging sessions. Excellent communication, patience, and the ability to motivate and inspire young learners are key soft skills for this role. These skills ensure effective learning, positive student engagement, and the ability to support individual academic progress in a dynamic tutoring environment.

What are some common challenges tutors face at Explore Learning, and how can they be addressed?

Tutors at Explore Learning often encounter challenges such as adapting to different learning styles, managing group dynamics, and keeping students engaged during sessions. Overcoming these challenges involves developing strong communication skills, utilizing a variety of teaching techniques, and collaborating closely with other tutors and managers for support and feedback. Explore Learning provides training and resources to help tutors continuously improve their skills, ensuring they can effectively support each student's needs while maintaining a positive and productive learning environment.

What are Explore Learning tutors?

Explore Learning tutors are individuals who work with students, typically in a center or online setting, to provide personalized support in subjects like math and English. They use structured programs and interactive activities to help children aged 4-14 improve their confidence and academic skills. Tutors at Explore Learning adapt their teaching approach to meet each child's unique needs and learning style, fostering a positive and encouraging environment for growth.

What is the difference between Explore Learning vs Tutor?

AspectExplore LearningTutor
CredentialsTypically requires tutoring certifications or relevant subject degreesSimilar credentials, often including tutoring certifications or subject expertise
Work EnvironmentLearning centers, one-on-one or small group sessionsVaries: home, online, or in-person settings
Industry UsageEducational support for students in specific subjectsGeneral term for anyone providing personalized instruction
Search/Comparison IntentCompare structured learning programs with individual tutoring servicesLooking for personalized academic help or tutoring services

Explore Learning focuses on structured, curriculum-based learning centers for students, while tutors offer personalized, one-on-one academic support across various settings. Both roles require relevant credentials and serve the educational industry, but they differ in environment and approach.

What are popular job titles related to Explore Learning jobs in California? For Explore Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Explore Learning jobs in California look for? The top searched job categories for Explore Learning jobs in California are:
What cities in California are hiring for Explore Learning jobs? Cities in California with the most Explore Learning job openings:
Explore Learning jobs near you

Machine Learning Engineer, Reinforcement Learning

Skild AI

San Mateo, CA

Other

Re-posted 10 days ago

Job description

Position Overview

We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.

Responsibilities
  • Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
  • Design and conduct experiments to train RL models and conduct real-world tests.
  • Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
  • Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.
  • Analyze and interpret experimental results, iterating on model design to achieve desired performance.
  • Stay up-to-date with the latest research and advancements in reinforcement learning.
Preferred Qualifications
  • BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
  • Strong background in algorithms, data structures, and software engineering principles.
  • Experience with physics simulation engines and tools for training RL.
  • Deep understanding of state-of-the-art machine learning techniques and models.
  • Extensive industry experience with reinforcement learning and robotic systems.

Apply