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Java Machine Learning Jobs in Texas (NOW HIRING)

Apple

Machine Learning Engineer

Austin, TX · On-site

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 ...

Q2

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... or Java Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) Familiarity ...

Samprasoft

Machine Learning Engineer

Roanoke, TX · On-site

Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI ... Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/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 ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/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 ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/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 ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree

Diverse Lynx

Machine Learning Engineer

Dallas, TX · On-site

Role - Machine Learning Engineer Location - New York / Dallas, TX (Need Only local candidates) Exp ... C++| Go| Java); * strong hands-on experience building and maintaining large-scale Python ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Roku

Senior Machine Learning Engineer

Austin, TX

$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

CVS Health

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

Java, Python, or Node.js; NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP); Machine learning, statistical analysis, and predictive modeling; Machine learning algorithms; Feature engineering, model ...

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Java Machine Learning information

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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:
What are popular job titles related to Java Machine Learning jobs in Texas? For Java Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Java Machine Learning jobs in Texas look for? The top searched job categories for Java Machine Learning jobs in Texas are:
Java Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

Apple

Austin, TX • On-site

Full-time

Posted 5 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

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work...Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things...We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop the next generation of algorithms used to drive the Apple Online experience! The role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimizing Apple-wide systems & infrastructure. As a member of the fast-paced team, you will have the outstanding and great opportunity to be part of new projects and craft upcoming products that will delight and encourage millions of Apple's customers every day.
To be successful, candidates will need a machine learning background, proven software development skills, a love of learning. They will also need to be able to collaborate with cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to help develop and implement machine learning algorithms and testing workflows.
4+ years of related experience building high throughput scalable applications or building machine learning models.Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems.Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.Skilled in communication, problem solving, strategic thinking Attention to detail, data accuracy and quality of output
PhD or Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelor's degree with equivalent experience.Experience in Search, Recommender Systems, Personalization, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture.Skilled in communication, problem solving, critical thinking.Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus.Experience with Spark, TensorFlow, Keras, and PyTorch a plus

What Apple employees say

Pay

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

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