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.
Find ML Software Engineer JobsOverview
Showing 5 of 21+ ML Software Engineer jobs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 2 years of experience with data structures and algorithms in either an academic or industry setting.
- Experience in developing and deploying AI/ML models and algorithms.
- Experience with version control systems (e.g., Git) and software development tools (e.g., IDEs, CI/CD pipelines).
- Proficiency in one or more programming languages commonly used in software development, such as Python, Java, or C++.
About the job
The AI/ML Foundations team is a group of engineers and data scientists tasked with building the foundations for engineering excellence and prototyping helpful, internal-facing AI/ML products. We partner with teams across the company to apply Google’s best AI/ML techniques to Google’s biggest opportunities across various enterprise domains (marketing, legal, finance, etc.).
Our team's mission is to enable partner teams to succeed in their AI/ML projects through the use of differing engagement models, ranging from consulting to productionizing and deploying models. Build cross-functional AI/ML agents and services for use across Google. Educate product teams on AI/ML techniques and infrastructure. Build infrastructure to make this infrastructure easier for other teams to use.
If you are looking for a new team focused on applied machine learning, excited about learning from AI/ML experts across Google, and want exposure to a wide range of cross-domain use cases, we want to talk to you! We are hoping to attract folks with some prior AI/ML experience and experience in the Google tool set.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Design and maintain AI/ML solutions to business problems.
- Collaborate with partner teams and business stakeholders to educate them and support their use of AI/ML.
- Create templates and tools to support adoption of emerging technologies.
- Create proofs of concept and well-lit paths for agent infrastructure.
- Identify opportunities to build shared solutions to common problems.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 2 years of experience with data structures and algorithms in either an academic or industry setting.
- Experience in developing and deploying AI/ML models and algorithms.
- Experience with version control systems (e.g., Git) and software development tools (e.g., IDEs, CI/CD pipelines).
- Proficiency in one or more programming languages commonly used in software development, such as Python, Java, or C++.
About the job
The AI/ML Foundations team is a group of engineers and data scientists tasked with building the foundations for engineering excellence and prototyping helpful, internal-facing AI/ML products. We partner with teams across the company to apply Google’s best AI/ML techniques to Google’s biggest opportunities across various enterprise domains (marketing, legal, finance, etc.).
Our team's mission is to enable partner teams to succeed in their AI/ML projects through the use of differing engagement models, ranging from consulting to productionizing and deploying models. Build cross-functional AI/ML agents and services for use across Google. Educate product teams on AI/ML techniques and infrastructure. Build infrastructure to make this infrastructure easier for other teams to use.
If you are looking for a new team focused on applied machine learning, excited about learning from AI/ML experts across Google, and want exposure to a wide range of cross-domain use cases, we want to talk to you! We are hoping to attract folks with some prior AI/ML experience and experience in the Google tool set.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Design and maintain AI/ML solutions to business problems.
- Collaborate with partner teams and business stakeholders to educate them and support their use of AI/ML.
- Create templates and tools to support adoption of emerging technologies.
- Create proofs of concept and well-lit paths for agent infrastructure.
- Identify opportunities to build shared solutions to common problems.
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 Services11
- JPMorganChase2
- University of Texas at Austin2
- HP1
- Apple1
Top Industries Hiring
- Electronics & Hardware
- Distribution & Wholesale
- Biotechnology & Pharmaceuticals
- 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, JPMorganChase, and University of Texas at Austin, based on current listings on Migrate Mate as of August 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 Spring 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 50% of ml software engineer openings tied to Texas are remote or hybrid as of August 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.
Find ML Software Engineer Jobs