ML Software Engineer Jobs in Texas
ML Software Engineer jobs in Texas are among the most active in the country, with strong demand from entry-level through senior levels concentrated in aerospace and defense, financial technology, and enterprise software sectors. Austin, Dallas, and Houston lead hiring, anchored by employers such as Dell Technologies, Lockheed Martin, and JPMorgan Chase. The most in-demand specialties include natural language processing, computer vision, and large-scale model deployment for production systems. Find a role that fits below and apply directly.
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Customer Systems is part of IS&T and drives the technology behind Apple's customer support experience — from contact center operations to the software powering the iconic Genius Bar. The team also builds and operates AppleCare's online support platform, which handles 6 billion visits per year, delivering seamless, high-quality support to Apple customers around the globe. At Apple, we are driven to deliver exceptional experiences through ultra-fast, thoughtfully designed, and meticulously crafted solutions. Our team is not just any group; we are a highly motivated, fast-paced, and dynamic collective of professionals committed to scaling new heights and achieving excellence. We seek individuals who strive beyond mediocrity and are relentless in their pursuit of perfection. Contribute to model development and fine-tuning workflows for generative AI features. Design and evaluate retrieval strategies for grounding large models in product-relevant data. Prototype and benchmark multi-agent collaboration systems for structured reasoning tasks. Partner with data and platform engineers to ensure scalable deployment and monitoring.
Description
Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here. The Customer Support AI team is responsible for building multi-turn, conversational, agentic applications and frameworks to support Apple customers across numerous lines of business. You’ll be contributing hands on to a team that consists of engineers, data scientists & researchers to enhance a multi-modal, multi-agent platform with a key focus on incorporating research to improve, latency, cost and customer experience. This is an incredible opportunity to contribute innovation & research to a well established generative AI platform within Apple. There is a huge amount of opportunity and growth within this space!
Minimum Qualifications
- 5+ years of hands-on experience in ML, backend engineering, data engineering
- 1-2 years of hands-on experience in training, fine-tuning, or evaluating LLMs
- Foundational understanding of RAG architectures and vector-based retrieval systems
- Strong experience partnering with business and engineering team to deliver AI solutions
- Bachelor's or Master's degree in Computer Science, Machine Learning, or related field, or equivalent practical experience.
Preferred Qualifications
- Proficiency in machine learning libraries (transformers, datasets).
- Strong problem-solving and collaboration skills, with the ability to learn quickly and adapt to production-grade systems.
- Experience working with Multi-modal LLMs to enable Voice capabilities is a plus or prior experience with STT, TTS systems.
- Experience with deploying to cloud environments (AWS, GCP, on-remote hybrid) is required.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
Customer Systems is part of IS&T and drives the technology behind Apple's customer support experience — from contact center operations to the software powering the iconic Genius Bar. The team also builds and operates AppleCare's online support platform, which handles 6 billion visits per year, delivering seamless, high-quality support to Apple customers around the globe. At Apple, we are driven to deliver exceptional experiences through ultra-fast, thoughtfully designed, and meticulously crafted solutions. Our team is not just any group; we are a highly motivated, fast-paced, and dynamic collective of professionals committed to scaling new heights and achieving excellence. We seek individuals who strive beyond mediocrity and are relentless in their pursuit of perfection. Contribute to model development and fine-tuning workflows for generative AI features. Design and evaluate retrieval strategies for grounding large models in product-relevant data. Prototype and benchmark multi-agent collaboration systems for structured reasoning tasks. Partner with data and platform engineers to ensure scalable deployment and monitoring.
Description
Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here. The Customer Support AI team is responsible for building multi-turn, conversational, agentic applications and frameworks to support Apple customers across numerous lines of business. You’ll be contributing hands on to a team that consists of engineers, data scientists & researchers to enhance a multi-modal, multi-agent platform with a key focus on incorporating research to improve, latency, cost and customer experience. This is an incredible opportunity to contribute innovation & research to a well established generative AI platform within Apple. There is a huge amount of opportunity and growth within this space!
Minimum Qualifications
- 5+ years of hands-on experience in ML, backend engineering, data engineering
- 1-2 years of hands-on experience in training, fine-tuning, or evaluating LLMs
- Foundational understanding of RAG architectures and vector-based retrieval systems
- Strong experience partnering with business and engineering team to deliver AI solutions
- Bachelor's or Master's degree in Computer Science, Machine Learning, or related field, or equivalent practical experience.
Preferred Qualifications
- Proficiency in machine learning libraries (transformers, datasets).
- Strong problem-solving and collaboration skills, with the ability to learn quickly and adapt to production-grade systems.
- Experience working with Multi-modal LLMs to enable Voice capabilities is a plus or prior experience with STT, TTS systems.
- Experience with deploying to cloud environments (AWS, GCP, on-remote hybrid) is required.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
See All 21 ML Software Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find ML Software Engineer JobsML Software Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
ML Software Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Amazon Web Services10
- Meta3
- Apple2
- University of Texas at Austin2
- Avride1
Top Industries Hiring
- E-Commerce & Online Marketplaces
What Texas Employers Look For
The qualifications that appear most often in ML software engineer jobs across Texas.
- Bachelor's or master's degree in computer science, mathematics, or a related technical field
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms including AWS, Google Cloud, or Microsoft Azure
- Strong foundation in statistics, linear algebra, and data pipeline engineering
- Experience with MLOps practices, model monitoring, and version control using tools like Git
ML Software Engineer Jobs in Texas: Frequently Asked Questions
How do you become a ml software engineer in Texas?
ML software engineer roles in Texas require no state-issued license, so the path runs through education and demonstrated technical skill. Most hiring managers expect at least a bachelor's degree in computer science, mathematics, or a closely related field, with a master's preferred at larger Texas employers in aerospace, defense, and finance. Building a portfolio of end-to-end ML projects, contributing to open-source repositories, and completing recognized certifications in cloud ML platforms strengthens candidacy significantly.
How much do ML software engineers make in Texas?
ML software engineers in Texas earn a median of about $132,150 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $82,600 for the lowest 10% to over $183,680 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ml software engineers in Texas?
Employers hiring ml software engineers in Texas right now include Amazon Web Services, Meta, and Apple, based on current listings on Migrate Mate as of November 2026. Texas's concentration of defense contractors, major banks, and enterprise technology companies means demand is distributed across industries rather than limited to a single sector.
Which Texas cities have the most ml software engineer jobs?
Austin, Plano, and Grapevine have the most ml software engineer openings in Texas. Austin's dense concentration of technology companies and semiconductor firms drives the largest share, while Dallas's major financial institutions and corporate headquarters and Houston's energy-sector analytics and aerospace employers account for significant hiring activity across those metros.
Are there remote ml software engineer jobs in Texas?
Yes, and more than most fields. About 100% of ml software engineer openings tied to Texas are remote or hybrid as of November 2026, reflecting how naturally the work fits distributed environments. Model development, experimentation, and code review are especially well suited to remote arrangements, while roles requiring collaboration with on-site hardware or production infrastructure more often require some in-person presence.
How can I get hired as a ml software engineer in Texas with little or no experience?
The most realistic entry path is a junior or associate ML engineer role reached through a strong project portfolio and a relevant degree or certification. Texas employers such as Dell Technologies and JPMorgan Chase run early-career and new-graduate programs that recruit directly from Texas universities. Lateral moves from data analyst, software developer, or data scientist roles are common. Completing cloud ML certifications and publishing reproducible model projects on a public repository gives candidates a concrete edge with Texas hiring teams.
Where can I find and apply to ml software engineer jobs in Texas?
You can find and apply to ml software engineer jobs in Texas on Migrate Mate, which lists current Texas openings across industries and experience levels. Find roles that fit your background and apply directly to the ones that match.
See All 21 ML Software Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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