Data Science Intern Visa Sponsorship Jobs in Texas
Data science intern visa sponsorship jobs in Texas are concentrated in Austin, Dallas, and Houston, where employers like Dell Technologies, AT&T, ExxonMobil, and numerous high-growth tech startups actively recruit international interns. Texas's expanding tech corridor and energy sector create consistent demand for data science talent at the intern level.
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Get Access To All JobsPosition Summary:
The Deep Learning Data Scientist Intern at Spectral AI will work closely with Deep Learning Data Scientists on topics related to research and development of traditional machine learning and deep learning algorithms that will impact future Spectral AI products focusing on medical imaging device data.
Essential Duties and Responsibilities:
- Work with cross-functional technical teams composed of researchers and software engineers.
- Data management and development of images and clinical datasets.
- Perform data cleaning for machine learning and deep learning algorithms.
- Design datasets and machine learning algorithms that solve critical clinical questions.
- Research and develop novel machine learning and deep learning models for medical imaging data analysis, especially in the field of image classification and semantic segmentation.
- Design, evaluate and deploy developed algorithms.
- All other duties as assigned.
Qualifications
Required education and experience:
- Must have at least a bachelor’s degree and currently enrolled in a Master or Ph.D. program in Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, with a focus on machine learning, deep learning, and AI.
- Coursework in Machine Learning, Image Processing, Applied Mathematics, and/or Data Science, e.g., Reinforcement Learning, Machine Learning (ML), Deep Learning, Image Processing, etc.
Knowledge, Skills, and Abilities:
- Excellent communication skills.
- Good understanding in machine learning and deep learning algorithms.
- Proficiency in a relevant programming language such as Python and C++.
- Proficiency in at least one major machine/deep learning framework such as Scikit-Learn, Pytorch, Tensorflow, or Keras.
- Proficiency in at least one major image processing framework such as OpenCV is a plus.
- Good understanding of image classification, semantic segmentation, and object detection algorithms.
- Implementation of machine learning and deep learning algorithm in recent projects.
Physical Requirements:
The physical demands described below are representative of those that must be met by an individual to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Prolonged periods of sitting at a desk and working on a computer.
- Must be able to lift, up to 15 pounds at times.
Travel:
10% of travel time expected for the position.
Equal Employment Opportunity:
Spectral AI, Inc. is an equal opportunity and affirmative action employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, protected veteran status, or any other characteristic protected by applicable federal, state or local laws.
Position Summary:
The Deep Learning Data Scientist Intern at Spectral AI will work closely with Deep Learning Data Scientists on topics related to research and development of traditional machine learning and deep learning algorithms that will impact future Spectral AI products focusing on medical imaging device data.
Essential Duties and Responsibilities:
- Work with cross-functional technical teams composed of researchers and software engineers.
- Data management and development of images and clinical datasets.
- Perform data cleaning for machine learning and deep learning algorithms.
- Design datasets and machine learning algorithms that solve critical clinical questions.
- Research and develop novel machine learning and deep learning models for medical imaging data analysis, especially in the field of image classification and semantic segmentation.
- Design, evaluate and deploy developed algorithms.
- All other duties as assigned.
Qualifications
Required education and experience:
- Must have at least a bachelor’s degree and currently enrolled in a Master or Ph.D. program in Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, with a focus on machine learning, deep learning, and AI.
- Coursework in Machine Learning, Image Processing, Applied Mathematics, and/or Data Science, e.g., Reinforcement Learning, Machine Learning (ML), Deep Learning, Image Processing, etc.
Knowledge, Skills, and Abilities:
- Excellent communication skills.
- Good understanding in machine learning and deep learning algorithms.
- Proficiency in a relevant programming language such as Python and C++.
- Proficiency in at least one major machine/deep learning framework such as Scikit-Learn, Pytorch, Tensorflow, or Keras.
- Proficiency in at least one major image processing framework such as OpenCV is a plus.
- Good understanding of image classification, semantic segmentation, and object detection algorithms.
- Implementation of machine learning and deep learning algorithm in recent projects.
Physical Requirements:
The physical demands described below are representative of those that must be met by an individual to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Prolonged periods of sitting at a desk and working on a computer.
- Must be able to lift, up to 15 pounds at times.
Travel:
10% of travel time expected for the position.
Equal Employment Opportunity:
Spectral AI, Inc. is an equal opportunity and affirmative action employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, protected veteran status, or any other characteristic protected by applicable federal, state or local laws.
Data Science Intern Job Roles in Texas
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Search Data Science Intern Jobs in TexasData Science Intern Jobs in Texas: Frequently Asked Questions
Which companies in Texas sponsor visas for data science interns?
Large Texas-based employers with established international hiring programs include Dell Technologies, AT&T, Texas Instruments, ExxonMobil, and Amazon Web Services (which has significant Austin operations). These companies have HR infrastructure to support visa sponsorship for interns. Smaller startups in Austin's tech scene also sponsor, though their processes vary and are less predictable. Checking a company's history of H-1B or OPT filings can indicate sponsorship likelihood.
Which visa types are most common for data science intern roles in Texas?
Most international data science interns in Texas work under F-1 OPT or CPT, which allows current students to work without employer-sponsored visa petitions during their studies or post-graduation period. Some employers later sponsor H-1B visas for interns who convert to full-time roles. J-1 internship visas are also used, typically through authorized exchange program sponsors. OPT and CPT remain the most practical authorization for active students.
Which cities in Texas have the most data science intern sponsorship jobs?
Austin leads Texas for data science intern sponsorship, driven by its dense concentration of tech companies and startups. Dallas-Fort Worth is close behind, with strong demand from financial services firms, telecommunications companies like AT&T, and large corporate headquarters. Houston offers opportunities in energy-sector data science roles at companies like ExxonMobil and Chevron Phillips Chemical. San Antonio has a smaller but growing cybersecurity and cloud computing presence.
How to find data science intern visa sponsorship jobs in Texas?
Migrate Mate lists data science intern positions in Texas filtered specifically for roles open to visa sponsorship, saving you from manually screening hundreds of postings. You can filter by city, employer type, and visa category to narrow results to Austin, Dallas, or Houston. Because Texas has a large intern market, filtering for sponsorship-friendly employers on Migrate Mate is the most efficient way to focus your applications.
Are there university pipelines or state-specific factors that affect data science intern sponsorship in Texas?
Texas has strong university pipelines feeding local internships: UT Austin, Texas A&M, Rice University, and UT Dallas all produce high volumes of data science students, including international students on F-1 visas. Employers in Texas are familiar with CPT and OPT authorization because of these pipelines. The state has no income tax, which shapes compensation structures, and its energy and semiconductor industries create data science intern demand beyond traditional tech sectors.
What is the prevailing wage for sponsored data science intern 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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