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Magic Ears Jobs in California (NOW HIRING)

Apple

Agentic Experience Strategist

Cupertino, CA · On-site

$149K - $193K/yr

Our main goal is to deliver a magical, personal digital experience where customers can shop, buy ... Minimum Qualifications 7+y ears demonstrated experience defining and developing consumer facing ...

Apple

Agentic Experience Strategist

Cupertino, CA

$149K - $225K/yr

Our main goal is to deliver a magical, personal digital experience where customers can shop, buy ... y ears demonstrated experience defining and developing consumer facing digital shopping journeys ...

All JobsMagic Ears JobsMagic Ears Jobs in California

Magic Ears information

See California salary details

$28.6K

$99.6K

$150K

How much do magic ears jobs pay per year?

As of Aug 28, 2026, the average yearly pay for magic ears in California is $99,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $126,800.00 per year, depending on experience, location, and employer.

What is a Magic Ears teacher?

Magic Ears teachers are online English instructors who work with children in China through the Magic Ears platform. They engage students in interactive, one-on-one or small group lessons using a curriculum provided by the company. Magic Ears teachers are typically native English speakers or fluent English speakers with a bachelor's degree and a TEFL/TESOL certificate. They teach remotely, allowing for flexible scheduling and the opportunity to work from anywhere with a stable internet connection.

What skills and qualifications are needed to thrive as an online ESL teacher at Magic Ears?

To thrive as an Online ESL Teacher at Magic Ears, you need a bachelor's degree (in any field), strong English proficiency, and prior teaching or tutoring experience. Familiarity with online teaching platforms, interactive whiteboards, and TEFL/TESOL certification is often preferred. Exceptional communication, patience, and the ability to engage young learners set top teachers apart. These skills ensure effective language learning, high student engagement, and positive classroom experiences in a remote environment.

What are some common challenges faced by online ESL teachers at Magic Ears, and how can they be managed?

Online ESL teachers at Magic Ears often face challenges such as managing varied student English proficiency levels, maintaining engagement in a virtual classroom, and adapting to the fast-paced lesson structure. To address these, teachers can utilize interactive teaching tools provided by the platform, prepare engaging activities, and leverage training resources offered by Magic Ears. Building strong classroom management skills and staying adaptable are key to creating a positive and effective learning environment for young learners.

Is Magic Ears a good company to work for?

Magic Ears is an online education platform where teachers deliver English lessons to students. Many teachers appreciate flexible scheduling and the opportunity to work remotely, but experiences can vary based on individual expectations and workload. Prospective applicants should research current reviews and consider the company's requirements for teaching certifications and technology setup.

What are popular job titles related to Magic Ears jobs in California?

For Magic Ears jobs in California, the most frequently searched job titles are:

What job categories do people searching Magic Ears jobs in California look for?

The top searched job categories for Magic Ears jobs in California are:

Magic Ears jobs near you
Infographic showing various Magic Ears job openings in California as of August 2026, with employment types broken down into 73% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $99,605 per year, or $47.9 per hour.

Senior Vehicle Dynamics Simulation Engineer

San Diego, CA • Hybrid

Waymo
Internet and IT • 1 - 5K employees
Learn more about Waymoexternal

$110K - $152K/yr

Full-time

Re-posted 20 days ago

Job description

Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.

This role follows a hybrid work schedule and you will report to Systems Engineering Manager. 

You will:

  • Use C++ and multi-domain modeling tools to develop models of chassis dynamics, actuator dynamics, and safety systems for Waymo platforms 
  • Integrate vehicle dynamics models into the Waymo Simulator and simulation workflows
  • Define and drive the execution of test campaigns to characterize  the vehicle dynamics of Waymo platforms and validate vehicle dynamics models
  • Develop and execute sim-based analyses to support all phases of development of the Waymo Driver from requirements definition through verification and validation
  • Support partner teams across Waymo in applying vehicle dynamics simulation capabilities to their use cases

You have:

  • Master's degree in an engineering or related field (including ME, EE, CS, Robotics, Controls, Aerospace, etc.) or equivalent practical experience
  • At least 5 years experience modeling and simulating vehicle dynamics
  • Strong understanding of tire modeling techniques, including analytical and semi-empirical (Magic Formula) models
  • Strong understanding of chassis dynamics modeling techniques, including both low- and high-fidelity (multibody) models
  • Strong understanding of the principles of operation of vehicle safety systems, including anti-lock brakes, electronic stability control, and traction control
  • Experience with commercial vehicle dynamics modeling tools (Simscape, Maplesim, CarMaker, Carsim, Adams etc.)
  • At least 2 years experience implementing models/algorithms in C++ and performing data analysis using Python

We prefer:

  • Experience developing chassis control systems such as anti-lock brakes, electronic stability control, and traction control.
  • At least 5 years experience developing production-quality C++ and Python code
  • Experience integrating models into a broader simulation framework
  • Familiarity with Modelica
  • Familiarity with the Functional Mockup Interface (FMI) standard

Apply