2

Remote Java Trainer Jobs in California (NOW HIRING)

$129K - $168K/yr

This role will be remote to start and then will be flexibly based out of California (once covid-19 ... Participating in continuing education and training to remain current on best practices, learn new ...

Proficiency in backend programming languages such as Python, Java, Kotlin, Node.js, or Go and ... or leadership training * Work Environment: Fully remote, U.S.-based * Health Benefits:

Engineer II, Backend APIs

Los Angeles, CA · On-site +1

$125K - $135K/yr

... F remote, T/W/TH in-office) West Coast - Remote At Magnite, we cultivate an environment of ... Primary development experience in modern (latest JVM version) Java for high-throughput, low-latency ...

... training and development, performance evaluation) * Act as an internal ambassador for the ... Go, Java, and/or Javascript * Hands on technical manager experienced in designing, building and ...

... training and development, performance evaluation) * Act as an internal ambassador for the ... Go, Java, and/or Javascript * Hands on technical manager experienced in designing, building and ...

... training and development, performance evaluation) * Act as an internal ambassador for the ... Go, Java, and/or Javascript * Hands on technical manager experienced in designing, building and ...

... training and development, performance evaluation) * Act as an internal ambassador for the ... Go, Java, and/or Javascript * Hands on technical manager experienced in designing, building and ...

Senior Software Engineer

Campbell, CA · On-site +1

$125K - $160K/yr

Design and implement backend services using Java, SQL, and TypeScript. * Build and enhance ... Flexible remote work options with a collaborative, high-performing team. * A culture of engineering ...

Strong programming expertise in Python; additional experience in Java, C++, or JavaScript is a plus ... Define and own the architecture for scalable AI/ML systems, including training, fine-tuning ...

next page

Showing results 1-20

Remote Java Trainer information

How does a Remote Java Trainer typically structure interactive learning sessions to keep remote learners engaged?

A Remote Java Trainer often uses a blend of live coding demonstrations, real-time Q&A, and breakout group exercises to foster engagement in a virtual environment. Many trainers incorporate collaborative coding platforms and regular quizzes to check understanding and encourage participation. Effective trainers also schedule office hours or one-on-one sessions to address individual questions and challenges, ensuring that remote learners feel supported and connected despite the distance. This interactive approach helps maintain high levels of motivation and retention among students.

What does a Remote Java Trainer do?

A Remote Java Trainer is responsible for teaching Java programming to students or professionals through online platforms. They develop course materials, deliver live or recorded lessons, and provide guidance on coding best practices and problem-solving. Their role also includes assessing student progress, answering questions, and preparing learners for certifications or real-world Java development tasks. Remote Java Trainers often work for educational institutions, training companies, or as independent contractors.

What is the difference between Remote Java Trainer vs Remote Java Developer?

AspectRemote Java TrainerRemote Java Developer
Required CredentialsJava certifications, teaching experienceJava certifications, coding experience
Work EnvironmentOnline training platforms, educational institutionsSoftware companies, freelance projects
Employer & Industry UsageTraining companies, e-learning platformsTech firms, startups, freelance clients
Common Search & ComparisonYesYes

Remote Java Trainers focus on teaching Java skills through online courses and training sessions, often requiring teaching credentials and experience. Remote Java Developers primarily write, test, and maintain Java applications, emphasizing coding skills and technical experience. While both roles involve Java expertise, trainers focus on education, and developers on software development.

What are the key skills and qualifications needed to thrive as a Remote Java Trainer, and why are they important?

To thrive as a Remote Java Trainer, you need expert-level proficiency in Java programming, instructional experience, and typically a relevant degree or Java certification. Familiarity with virtual classroom platforms, code collaboration tools like Git, and presentation software is important for effective remote teaching. Outstanding communication, patience, and the ability to adapt teaching methods to diverse learners make someone stand out in this position. These skills ensure that complex Java concepts are conveyed clearly and students are fully engaged and supported in a remote learning environment.
What are the most commonly searched types of Java Trainer jobs in California? The most popular types of Java Trainer jobs in California are:
What job categories do people searching Remote Java Trainer jobs in California look for? The top searched job categories for Remote Java Trainer jobs in California are:
What cities in California are hiring for Remote Java Trainer jobs? Cities in California with the most Remote Java Trainer job openings:
Infographic showing various Remote Java Trainer job openings in California as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 85% Full Time, 6% Part Time, 1% Temporary, and 6% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.
Staff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)

Staff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)

Yelp, Inc

San Francisco, CA • On-site, Remote

Full-time

Re-posted 22 days ago


Yelp rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

108th of 205 rated software companies


Job description

Summary
Yelp engineering culture is driven by our values: we're a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we're all about helping our users, growing as engineers, and having fun in a collaborative environment.
Yelp's mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. As a Staff-level ML Engineer on the Content Contributor Intelligence team, you will help build connections across millions of users and business listings. Your work will involve using cutting-edge industry tools, including neural networks (NNs), large language models (LLMs), and various embedding techniques for text, images, and videos. Additionally, you will apply traditional ML methods such as XGBoost and linear models to enhance our systems. You'll be responsible for turning raw data into valuable signals and building ML systems end-to-end. This includes the full ML lifecycle from training models to deploying them in production, as well as contributing to the ML platforms these models rely on.
This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US. We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes.
What you'll do:
  • Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
  • Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
  • Work with large and complex textual and visual datasets.
  • Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
  • Work in the contributor and visual intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types
  • Productionize and automate model pipelines within Python services.
  • Drive and advocate adoption of best practices in ML development and operations, and mentor newer engineers in those practices.

What it takes to succeed:
  • Experience developing and productionizing machine learning models, particularly in neural networks, computer vision and LLMs including their supported data pipelines.
  • Experience with machine learning using packages such as PyTorch, TensorFlow, Spark MLlib, XGBoost, and Sklearn.
  • Strong coding skills in Python or equivalent (Java, C++).
  • Solid understanding of engineering and infrastructure best practices.
  • The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.
  • We highly value experience of working with LLMs, utilizing LLM APIs (OpenAI, Bedrock, etc), prompt engineering and evaluation.
  • A Bachelor's Degree or an equivalent work experience is required

What you'll get:
  • There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience. Based on the anticipated level of experience we are seeking, we expect the compensation range for this role to be between $112,000 and $269,000. You may also be offered a bonus, restricted stock units, and benefits.
  • This opportunity has the option to be fully remote in all locations across the US.
  • You can find more information about Yelp's five star benefits here!

Closing
At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education - and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include "Playing Well With Others" and "Authenticity."
We're proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.
Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience.
We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California).
Where required by law, a criminal background check will not be conducted until after a conditional offer of employment is made, and any evaluation of a candidate's criminal background check will be subject to an individualized assessment that takes into account the candidate's specific criminal records and the responsibilities and requirements of the particular role.
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
#LI-Remote
Recruiting and Applicant Privacy Notice

What Yelp employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom