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Remote Java Jobs in Austin, TX (NOW HIRING)

Victory

Data Scientist (Remote)

Austin, TX · Remote

Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or ...

Thermo Fisher

Senior Software Engineer (Tech lead)

Austin, TX · On-site +1

$121K - $160K/yr

Build, deploy, and maintain web applications & Microservices (Python & Java) for both on-premises ... Can work hybrid (In-Office/Remote). Travel: Up to 10% domestic and international travel required.

New

EngFlow

Implementation Engineer

Austin, TX · Remote

Our cloud-based, distributed service optimizes developer workflows through remote execution and ... Proficiency in at least one programming language (e.g., Go , C++ , Java , Python , Rust , or ...

Huntington

Senior Developer

Austin, TX · On-site +1

$57K - $113K/yr

Design, develop, and maintain Java/J2EE-based applications and batch processes, as required ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Senior Developer

Austin, TX · On-site +1

$57K - $113K/yr

Design, develop, and maintain Java/J2EE-based applications and batch processes, as required ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Senior Developer

Austin, TX · On-site +1

$57K - $113K/yr

Design, develop, and maintain Java/J2EE-based applications and batch processes, as required ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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$56

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How much do remote java jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for remote java in Austin, TX is $56.20, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $62.88 per hour, depending on experience, location, and employer.

What is a Remote Java job?

A Remote Java job is a software development role that allows professionals to work from anywhere while using the Java programming language to build applications. These roles often involve backend development, API integration, cloud computing, and maintaining Java-based systems. Remote Java developers collaborate with teams using communication tools, version control systems, and project management software. Many companies offer remote Java positions to access a global talent pool and provide work flexibility.

What are the key skills and qualifications needed to thrive in the Remote Java position, and why are they important?

To thrive as a Remote Java developer, you need a strong grasp of Java programming, object-oriented design principles, and commonly used frameworks such as Spring or Hibernate, backed by a degree in computer science or equivalent experience. Experience with version control systems like Git, build tools (Maven/Gradle), and knowledge of cloud platforms or DevOps practices are often required, while certifications like Oracle Certified Professional (OCP) can be advantageous. Strong communication skills, self-motivation, and time management are essential for remote collaboration and project delivery. These competencies ensure effective code development, seamless teamwork, and successful delivery of software solutions in a distributed work environment.

What are some common challenges faced by Remote Java developers, and how can they be addressed?

Remote Java developers often face challenges such as maintaining clear communication with team members across different locations and time zones, as well as managing their own schedules for deep, focused work. To address these challenges, it helps to make use of collaboration tools like Slack, Jira, and video conferencing, and to establish regular check-in meetings with your team. Proactively documenting your code and project decisions can also help streamline teamwork and reduce misunderstandings. Additionally, setting up a dedicated workspace and clear daily routines can boost productivity and ensure successful project outcomes as a remote developer.

What are the most commonly searched types of Java jobs in Austin, TX? The most popular types of Java jobs in Austin, TX are:
What are popular job titles related to Remote Java jobs in Austin, TX? For Remote Java jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Java jobs in Austin, TX look for? The top searched job categories for Remote Java jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Java jobs? Cities near Austin, TX with the most Remote Java job openings:
Remote Java jobs near you
Infographic showing various Remote Java job openings in Austin, TX as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,895 per year, or $56.2 per hour.
Staff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)

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

Yelp, Inc

Austin, TX • Remote

Full-time

Posted 3 days ago

Yelp rating

8.2

Company rating: 8.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

77th of 191 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!
ClosingAt 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 

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