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Java Machine Learning Jobs in Texas (NOW HIRING)

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java ... NLP, Deep Learning, Data visualization, Scala, Django Our candidates always get projects with well ...

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

Duties include: apply data modeling, machine learning, predictive modeling, and statistical ... Java, Python, or Node.js;JavaScript;Agile methodologies or SAFe Software Development Principles;

New

As a Machine Learning Engineering Manager, you will onboard and oversee junior scientists and ... Well-versed in coding (Python, Java, Go, or C++) and experience with SQL Databases like Presto, and ...

Senior Machine Learning Engineer

Austin, TX · Hybrid

$121K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Proficient coding skills and strong software development experience in Spark, Python, or Java

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Proficient coding skills and strong software development experience in Spark, Python, or Java

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... Experience developing backend services in Java/Kotlin for ML-driven systems and features

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

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Java Machine Learning information

See Texas salary details

$14

$52

$72

How much do java machine learning jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for java machine learning in Texas is $52.82, according to ZipRecruiter salary data. Most workers in this role earn between $45.67 and $59.13 per hour, depending on experience, location, and employer.

Which 5 jobs will survive AI?

For a Java Machine Learning professional, roles that require complex problem-solving, domain expertise, and human judgment such as data scientists, AI researchers, software engineers, cybersecurity analysts, and AI ethics specialists are likely to persist. These jobs involve tasks that are difficult to automate fully and often require continuous learning and adaptation. Skills in programming, critical thinking, and understanding of AI tools will remain valuable in these fields.

What is a Java Machine Learning job?

A Java Machine Learning job involves developing and deploying machine learning models using Java-based frameworks and libraries. Professionals in this role work on data preprocessing, model training, optimization, and integration into applications. They often use tools like Weka, Deeplearning4j, or Apache Spark MLlib. Strong knowledge of Java, machine learning algorithms, and data structures is essential.

Which pays more, C++ or Java?

In the context of Java Machine Learning roles, C++ developers often earn higher salaries due to their expertise in performance-critical applications and system-level programming. However, Java developers tend to have more job opportunities in enterprise environments, which can influence salary differences. Overall, compensation varies based on experience, location, and industry demand for specific skills.

Is Java still useful in 2026?

Java remains a relevant language for Java Machine Learning roles in 2026 due to its stability, extensive libraries, and widespread use in enterprise applications. Skills in Java, along with knowledge of frameworks like Weka or Deeplearning4j, continue to be valuable for developing scalable machine learning solutions. Staying updated with Java versions and related tools is important for job competitiveness.

What engineers make $500,000?

Senior software engineers, especially those specializing in high-demand fields like machine learning, data science, or cloud computing, can earn $500,000 or more annually. Achieving this level typically requires extensive experience, advanced skills, and often working in high-paying industries or companies with stock options and bonuses.

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

To thrive as a Java Machine Learning professional, you need strong Java programming skills, a solid understanding of machine learning algorithms, and a degree in computer science or a related field. Experience with frameworks such as Weka, Deeplearning4j, or Apache Spark MLlib, along with familiarity with data processing tools and industry-standard certifications, is often required. Problem-solving ability, teamwork, and effective communication are valuable soft skills for success in this role. These skills and qualities are critical for developing robust machine learning solutions, efficiently collaborating with technical teams, and addressing complex business challenges.

What are some common challenges faced by Java Machine Learning professionals on the job?

Java Machine Learning professionals often encounter challenges such as integrating machine learning models into existing Java-based production systems, optimizing algorithms for scalability and efficiency, and ensuring data quality for model training. They may also need to stay current with evolving machine learning libraries and approaches, requiring continuous learning and flexibility. Collaborating with data engineers, software developers, and business stakeholders is common, so strong interpersonal and project management abilities are crucial. Overcoming these challenges is key to successfully deploying high-performing, reliable machine learning solutions that meet organizational needs.

What are the most commonly searched types of Java Machine Learning jobs in Texas? The most popular types of Java Machine Learning jobs in Texas are:
Machine Learning Engineer - News, Books, and Stocks Team

Machine Learning Engineer - News, Books, and Stocks Team

Apple

Austin, TX

$139K - $258K/yr

Full-time

Medical, Dental, Retirement

Posted 28 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

In a time where the news and book media landscapes are changing by the day, Apple News and Apple Books stand as champions of quality content, expert curation, user privacy, and the judicious use of machine learning.
Our lively and brilliant team consists of client and machine learning engineers who embody Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our careers!
Our team's outstanding retention rate speaks to our strong culture of respect for our teammates as both engineers and people. Would you like to work on such a team, solving hard problems in machine learning? Terrific! Please join us for the next generation of these apps!
Description
Our team is seeking a high-energy and self-driven machine learning engineer who will play a central role in the delivery of scalable services. The team uses machine learning to tackle difficult and complicated problems in the news, books, and stocks domains, including text extraction, named entity recognition, duplicate detection, search, ranking, and much more! As a member of our dynamic group, you’ll have the rare and rewarding opportunity to craft upcoming products that will delight and encourage millions of Apple’s customers every day!","responsibilities":"Design and implement state-of-the-art AI/ML that processes news, stocks, and books data to drive recommendations, power advanced search, and enable next-generation AI features.
Develop datasets, design model architecture, and prompt, train, or fine-tune models.
Partner with cross-functional teams at the intersection of technology and liberal arts to design and implement end-to-end AI/ML features.
Drive application features from concept, model design, and development all the way to delivery.
Join a thriving machine learning community at Apple.
Preferred Qualifications
Ph.D. in Machine Learning, Computer Science, or related field.
At least 5 years of experience shipping machine learning models in products.
Experience with recommender systems.
Experience with text-centric AI/ML (LLMs, document classification, search, etc.)
Experience delivering high quality software at scale.
Experience designing user-facing machine learning features with interdisciplinary partners.
Minimum Qualifications
MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable.
At least 2 years of experience shipping machine learning models in products.
Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.
Ability to communicate effectively and collaborate with partner teams.
Commitment to encouraging an open and inclusive work environment.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976