Machine Learning Researcher Visa Sponsorship Jobs in Texas
Machine learning researcher visa sponsorship jobs in Texas are concentrated at tech giants like Google, Meta, and Apple in Austin, defense and aerospace contractors in the Dallas-Fort Worth corridor, and energy-sector AI labs in Houston. University research pipelines at UT Austin, Rice, and Texas A&M feed directly into industry roles that regularly sponsor H-1B visa, O-1 visa, and EB-2 positions.
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Get Access To All JobsLocation: Southlake, TX ; Omaha, NE ; Orlando, FL ; San Francisco, CA
Requisition ID 2026-129890
Category Risk & Regulatory
Position type Regular
Pay range USD $100,000.00 - $140,000.00 / Year
Application deadline 2026-11-14
Your opportunity
At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location.
The Behavioral AI/ML Analytics (BAMA) team is looking for a dynamic, self-motivated Manager, Data Science. BAMA leverages predictive modeling, advanced analytics, machine learning, and emerging AI technologies to deliver innovative solutions that enhance Schwab's ability to fight financial crime. Supporting Fraud Prevention and Anti-Money Laundering (AML) programs within Financial Risk Management (FRM), the team develops predictive models, AI-powered capabilities, and advanced analytical solutions that solve complex business problems and deliver measurable value. With a broad range of business challenges to address, BAMA provides numerous opportunities to drive meaningful impact through both traditional machine learning and next-generation AI technologies.
What you’ll do
As a Manager, Data Science, you will play a key role in understanding FRM business needs and delivering innovative, high-impact analytical solutions. You will collaborate with business, technology, and governance partners to develop and deploy advanced analytics, machine learning, and Generative AI solutions that support critical fraud and AML initiatives.
Key responsibilities include:
- Develop, test, and implement predictive modeling, machine learning, and GenAI-powered solutions to enhance fraud detection, AML investigations, risk analytics, and operational efficiency.
- Partner with business, technology, and governance teams to translate business needs into practical use cases for Large Language Models (LLMs), Retrieval Augmented Generation (RAG), intelligent automation, and agentic AI systems.
- Design, develop, and evaluate AI-assisted investigator tools, knowledge retrieval solutions, and decision-support capabilities while supporting appropriate model governance, risk controls, and regulatory compliance.
- Leverage cloud-based AI platforms and emerging technologies to improve analyst productivity, decision quality, and customer outcomes.
- Communicate analytical findings and AI-driven insights to technical and non-technical stakeholders, supporting informed business decisions and measurable outcomes.
What you have
The Manager, Data Scientist brings a strong quantitative foundation, business acumen, and passion for solving complex problems. The ideal candidate is an innovative, collaborative professional with expertise in data science, machine learning, and emerging AI technologies.
Qualifications:
- Demonstrated ability to independently and collaboratively deliver end-to-end data science solutions that drive business value.
- Experience in data science and machine learning within fraud, AML, payments, financial services, or related domains.
- Strong communication skills, with the ability to translate complex analytical and AI concepts into clear business insights.
- Curiosity and enthusiasm for learning and adopting new tools, technologies, and techniques.
- 3+ years of experience in analytics, data science, machine learning, or a related field.
- Advanced proficiency in SQL and Python.
- Experience with Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, or AI agent frameworks.
- Understanding of Responsible AI, model governance, explainability, and AI risk management principles.
- Experience with modern AI platforms and tools such as Vertex AI, Gemini, OpenAI, LangChain, or related technologies.
What will help set you apart
- Demonstrated experience developing and deploying GenAI applications within financial services, fraud, AML, risk management, or compliance domains.
- Experience with LLM evaluation, AI observability, prompt optimization, RAG architectures, knowledge retrieval systems, and agent-based workflows.
- Knowledge of cloud-native AI platforms, particularly Google Cloud Platform (GCP), Vertex AI, Gemini, and related AI services.
- Experience supporting cross-functional AI initiatives from ideation through production deployment and adoption.
- Familiarity with AI governance frameworks, model risk management, and emerging regulatory expectations for GenAI in highly regulated industries.
- Experience building scalable AI solutions that integrate predictive modeling, machine learning, and Generative AI capabilities into operational workflows.
What’s in it for you
At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
Eligible Schwabbies receive
- Medical, dental and vision benefits
- 401(k) and employee stock purchase plans
- Tuition reimbursement to keep developing your career
- Paid parental leave and adoption/family building benefits
- Sabbatical leave available after five years of employment
Location: Southlake, TX ; Omaha, NE ; Orlando, FL ; San Francisco, CA
Requisition ID 2026-129890
Category Risk & Regulatory
Position type Regular
Pay range USD $100,000.00 - $140,000.00 / Year
Application deadline 2026-11-14
Your opportunity
At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location.
The Behavioral AI/ML Analytics (BAMA) team is looking for a dynamic, self-motivated Manager, Data Science. BAMA leverages predictive modeling, advanced analytics, machine learning, and emerging AI technologies to deliver innovative solutions that enhance Schwab's ability to fight financial crime. Supporting Fraud Prevention and Anti-Money Laundering (AML) programs within Financial Risk Management (FRM), the team develops predictive models, AI-powered capabilities, and advanced analytical solutions that solve complex business problems and deliver measurable value. With a broad range of business challenges to address, BAMA provides numerous opportunities to drive meaningful impact through both traditional machine learning and next-generation AI technologies.
What you’ll do
As a Manager, Data Science, you will play a key role in understanding FRM business needs and delivering innovative, high-impact analytical solutions. You will collaborate with business, technology, and governance partners to develop and deploy advanced analytics, machine learning, and Generative AI solutions that support critical fraud and AML initiatives.
Key responsibilities include:
- Develop, test, and implement predictive modeling, machine learning, and GenAI-powered solutions to enhance fraud detection, AML investigations, risk analytics, and operational efficiency.
- Partner with business, technology, and governance teams to translate business needs into practical use cases for Large Language Models (LLMs), Retrieval Augmented Generation (RAG), intelligent automation, and agentic AI systems.
- Design, develop, and evaluate AI-assisted investigator tools, knowledge retrieval solutions, and decision-support capabilities while supporting appropriate model governance, risk controls, and regulatory compliance.
- Leverage cloud-based AI platforms and emerging technologies to improve analyst productivity, decision quality, and customer outcomes.
- Communicate analytical findings and AI-driven insights to technical and non-technical stakeholders, supporting informed business decisions and measurable outcomes.
What you have
The Manager, Data Scientist brings a strong quantitative foundation, business acumen, and passion for solving complex problems. The ideal candidate is an innovative, collaborative professional with expertise in data science, machine learning, and emerging AI technologies.
Qualifications:
- Demonstrated ability to independently and collaboratively deliver end-to-end data science solutions that drive business value.
- Experience in data science and machine learning within fraud, AML, payments, financial services, or related domains.
- Strong communication skills, with the ability to translate complex analytical and AI concepts into clear business insights.
- Curiosity and enthusiasm for learning and adopting new tools, technologies, and techniques.
- 3+ years of experience in analytics, data science, machine learning, or a related field.
- Advanced proficiency in SQL and Python.
- Experience with Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, or AI agent frameworks.
- Understanding of Responsible AI, model governance, explainability, and AI risk management principles.
- Experience with modern AI platforms and tools such as Vertex AI, Gemini, OpenAI, LangChain, or related technologies.
What will help set you apart
- Demonstrated experience developing and deploying GenAI applications within financial services, fraud, AML, risk management, or compliance domains.
- Experience with LLM evaluation, AI observability, prompt optimization, RAG architectures, knowledge retrieval systems, and agent-based workflows.
- Knowledge of cloud-native AI platforms, particularly Google Cloud Platform (GCP), Vertex AI, Gemini, and related AI services.
- Experience supporting cross-functional AI initiatives from ideation through production deployment and adoption.
- Familiarity with AI governance frameworks, model risk management, and emerging regulatory expectations for GenAI in highly regulated industries.
- Experience building scalable AI solutions that integrate predictive modeling, machine learning, and Generative AI capabilities into operational workflows.
What’s in it for you
At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
Eligible Schwabbies receive
- Medical, dental and vision benefits
- 401(k) and employee stock purchase plans
- Tuition reimbursement to keep developing your career
- Paid parental leave and adoption/family building benefits
- Sabbatical leave available after five years of employment
Machine Learning Researcher Job Roles in Texas
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Search Machine Learning Researcher Jobs in TexasMachine Learning Researcher Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for machine learning researchers in Texas?
Major Texas-based sponsors include Dell Technologies and Apple in Austin, Lockheed Martin and AT&T in the Dallas-Fort Worth area, and ExxonMobil and Hewlett Packard Enterprise in Houston. National labs like LANL maintain Texas partnerships as well. These employers have consistent LCA filing histories for research-level machine learning roles requiring advanced degrees, making them reliable targets for visa-seeking candidates.
Which visa types realistically fit machine learning researcher roles in Texas?
Machine learning researcher roles typically qualify as specialty occupations requiring a directly related bachelor's degree or higher, making the H-1B the most common pathway. Candidates with exceptional research records may pursue the O-1A. Canadians and Mexicans cannot use TN visa for this role, as it is not a USMCA-listed profession. F-1 students with STEM-designated degrees can use OPT and the 24-month STEM OPT extension. EB-2 and EB-3 green cards are common long-term routes, with EB-2 NIW available for those whose research serves national interests.
Which cities in Texas have the most machine learning researcher sponsorship jobs?
Austin leads the state due to its dense tech sector, with Meta's AI lab, Google, Apple, and numerous AI startups actively sponsoring researchers. Dallas-Fort Worth follows, driven by defense contractors, financial services firms, and telecom companies with dedicated ML teams. Houston offers opportunities in energy-sector AI and medical research, particularly near the Texas Medical Center. San Antonio has growing cybersecurity and defense AI roles tied to military installations.
How to find machine learning researcher visa sponsorship jobs in Texas?
Migrate Mate is the most direct way to find machine learning researcher roles in Texas where employers have verified visa sponsorship history. You can search specifically for ML research positions filtered to Texas cities and see which companies have active LCA filing records for similar roles. This is more targeted than general job searches and helps you prioritize employers who have already committed to sponsoring international researchers.
Are there state-specific or role-specific factors for machine learning researchers seeking sponsorship in Texas?
Texas has no state income tax, which makes it attractive for high-earning researchers and can influence employer compensation benchmarks used in LCA prevailing wage determinations. University pipelines at UT Austin and Rice University create strong OPT-to-H-1B pathways, with many research labs preferring to convert their own graduate students. Defense-sector employers in Dallas-Fort Worth may require security clearances, which can complicate sponsorship for some nationalities and add processing time.
What is the prevailing wage for sponsored machine learning researcher 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.