ML Software Engineer Visa Sponsorship Jobs in Texas
Texas is one of the strongest states for ML software engineer visa sponsorship, driven by major tech hubs in Austin, Dallas, and Houston. Companies like Dell, AT&T, Texas Instruments, and a dense cluster of Austin-based startups and Amazon, Apple, and Google offices regularly sponsor ML engineers through H-1B and other work visas.
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INTRODUCTION
Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. athenahealth epocratesTM is seeking a Senior AI/ML Engineer to design, develop, and deploy advanced AI and ML solutions that enable our platform and mobile apps to transform the connection between pharmaceutical brands and 1 million+ healthcare professionals during moments of care.
As a multi-hat contributor, you bring a blend of Data Science, AI-Development Life Cycle engineering, and software engineering. Your primary responsibility will be designing, implementing, deploying, and maintaining Machine Learning solutions for a mix of features across multiple product areas. Experience building, deploying, and maintaining ML systems is required for classical AI models (examples: classifications, tagging, segmentation). Familiarity with Generative AI, Agentic AI, and the tooling to deploy these solutions in production software is highly desirable.
Beyond AI model and pipeline work, you will serve as an advocate and trusted partner within our subdivision: consulting with teams on their AI/ML approaches and evangelizing concepts across the organization in this dynamic field.
THE TEAM
You will be part of the AI Capabilities engineering team. This team is entrusted with pushing the boundaries and building innovative AI / Machine Learning solutions in a growing and ever-evolving space. This team also lays the foundation with the safety, privacy, and performance guardrails and comes up with guidance for other teams to adopt the framework to build their own AI-enabled features.
KEY RESPONSIBILITIES
- Participate in development of end-to-end AI/ML projects—from research and design to deployment and ongoing maintenance—ensuring scalable, production-ready systems
- Help implement robust ML pipelines and production-grade infrastructure to support high-volume workloads
- Partner with cross-functional teams to integrate AI capabilities aligned with business goals and customer needs
- Research and prototype novel AI/ML algorithms and techniques to drive innovation
- Help establish best practices for AI/ML development, deployment, monitoring, and governance
- Monitor model performance, scalability, and cost in production, and drive continuous optimization
- Advocate for responsible AI—focusing on fairness, transparency, and data privacy
DESIRED QUALIFICATIONS
- Bachelor’s degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science/Engineering, or a related technical field.
- 3+ years in technology or software development, with at least 1 year specializing in ML/AI and Data Science roles.
- Technical comprehension of Classical AI/ML algorithms, deep learning, Natural Language Understanding and Processing, Generative AI such as GPT and BERT, Large Language Model, LangChain and LangGraph.
- Proven track record developing and deploying scalable AI/ML systems and pipelines in production using AWS.
- Proficiency in Python and a working knowledge of JVM language/services.
- Proficiency in working with SQL and non-SQL data.
- Experience with at least one major ML framework (e.g., TensorFlow, PyTorch).
- Practical experience taking models from prototype to production; familiarity with AWS SageMaker is a plus.
- Experience in MLOps and Machine Learning workflow orchestration.
- Excellent communication and interpersonal skills.
- Passion for staying current with AI research and applying novel techniques responsibly in production.
EXPECTED COMPENSATION
$124,000 - $210,000
The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates. Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.
ABOUT ATHENAHEALTH
Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
Our company culture: Our talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support.
Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers, and the communities where we work and serve.
What we can do for you: Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs.
We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.
In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.

INTRODUCTION
Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. athenahealth epocratesTM is seeking a Senior AI/ML Engineer to design, develop, and deploy advanced AI and ML solutions that enable our platform and mobile apps to transform the connection between pharmaceutical brands and 1 million+ healthcare professionals during moments of care.
As a multi-hat contributor, you bring a blend of Data Science, AI-Development Life Cycle engineering, and software engineering. Your primary responsibility will be designing, implementing, deploying, and maintaining Machine Learning solutions for a mix of features across multiple product areas. Experience building, deploying, and maintaining ML systems is required for classical AI models (examples: classifications, tagging, segmentation). Familiarity with Generative AI, Agentic AI, and the tooling to deploy these solutions in production software is highly desirable.
Beyond AI model and pipeline work, you will serve as an advocate and trusted partner within our subdivision: consulting with teams on their AI/ML approaches and evangelizing concepts across the organization in this dynamic field.
THE TEAM
You will be part of the AI Capabilities engineering team. This team is entrusted with pushing the boundaries and building innovative AI / Machine Learning solutions in a growing and ever-evolving space. This team also lays the foundation with the safety, privacy, and performance guardrails and comes up with guidance for other teams to adopt the framework to build their own AI-enabled features.
KEY RESPONSIBILITIES
- Participate in development of end-to-end AI/ML projects—from research and design to deployment and ongoing maintenance—ensuring scalable, production-ready systems
- Help implement robust ML pipelines and production-grade infrastructure to support high-volume workloads
- Partner with cross-functional teams to integrate AI capabilities aligned with business goals and customer needs
- Research and prototype novel AI/ML algorithms and techniques to drive innovation
- Help establish best practices for AI/ML development, deployment, monitoring, and governance
- Monitor model performance, scalability, and cost in production, and drive continuous optimization
- Advocate for responsible AI—focusing on fairness, transparency, and data privacy
DESIRED QUALIFICATIONS
- Bachelor’s degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science/Engineering, or a related technical field.
- 3+ years in technology or software development, with at least 1 year specializing in ML/AI and Data Science roles.
- Technical comprehension of Classical AI/ML algorithms, deep learning, Natural Language Understanding and Processing, Generative AI such as GPT and BERT, Large Language Model, LangChain and LangGraph.
- Proven track record developing and deploying scalable AI/ML systems and pipelines in production using AWS.
- Proficiency in Python and a working knowledge of JVM language/services.
- Proficiency in working with SQL and non-SQL data.
- Experience with at least one major ML framework (e.g., TensorFlow, PyTorch).
- Practical experience taking models from prototype to production; familiarity with AWS SageMaker is a plus.
- Experience in MLOps and Machine Learning workflow orchestration.
- Excellent communication and interpersonal skills.
- Passion for staying current with AI research and applying novel techniques responsibly in production.
EXPECTED COMPENSATION
$124,000 - $210,000
The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates. Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.
ABOUT ATHENAHEALTH
Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
Our company culture: Our talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support.
Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers, and the communities where we work and serve.
What we can do for you: Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs.
We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.
In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.
ML Software Engineer Job Roles in Texas
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Search ML Software Engineer Jobs in TexasML Software Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in Texas?
Large employers with established Texas presences, including Dell Technologies in Round Rock, AT&T and Texas Instruments in Dallas, and Amazon, Apple, Google, and Meta at their Austin offices, have consistently filed H-1B petitions for ML software engineer roles. A growing number of Austin-based AI startups also sponsor ML talent, though sponsorship practices vary by company size and hiring cycle.
Which visa types are most common for ML software engineer roles in Texas?
The H-1B is by far the most common visa category for ML software engineers in Texas, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Some employers also use the O-1A for candidates with extraordinary ability in AI research. International students completing degrees at Texas universities frequently transition through OPT before an employer files an H-1B petition.
Which cities in Texas have the most ML software engineer sponsorship jobs?
Austin leads Texas for ML software engineer sponsorship, anchored by major tech campuses and a fast-growing startup ecosystem. Dallas-Fort Worth is the second-largest hub, with demand concentrated in financial technology, telecom, and enterprise software. Houston adds meaningful volume through energy-sector companies adopting ML for predictive analytics and operations, along with a strong research presence tied to Rice University and the University of Houston.
How to find ml software engineer visa sponsorship jobs in Texas?
Migrate Mate filters job listings specifically for visa sponsorship, so you can browse ML software engineer roles in Texas without manually vetting each employer's willingness to sponsor. The platform surfaces positions from companies that have active sponsorship histories, which is especially useful in Texas where hiring activity is spread across Austin, Dallas, and Houston. Filtering by role and state on Migrate Mate narrows the search to what's actually relevant to your situation.
Are there any Texas-specific factors ML software engineers should know about visa sponsorship?
Texas has no state income tax, which affects prevailing wage calculations under the H-1B's Labor Condition Application requirements, as the Department of Labor sets prevailing wages by metropolitan area rather than state. Austin's tech growth has pushed prevailing wage levels upward in recent years, particularly for senior ML roles. Texas also has a strong university pipeline, with UT Austin, Texas A&M, and UT Dallas producing ML graduates who are well known to local employers that sponsor regularly.
What is the prevailing wage for sponsored ml software engineer jobs in Texas?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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