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Machine Learning Internship Opt Cpt Jobs in Dallas, TX

Toyota

Principal Data Scientist

Plano, TX · On-site

... OPT, F-1 CPT, TN, (job flexibility benefits) (also known as I-140 or Adjustment of Status ... Who we're looking for Toyota's OneTech Data Science and Machine Learning Department is looking for ...

Astrix Inc

Automation Engineer II

Fort Worth, TX · On-site

Design and improve machine connectivity and manufacturing automation processes * Collaborate with ... Sponsorship (including H-1B, OPT, CPT, etc.) is not available for this role now or in the future.

General Motors

Controls Engineers

Arlington, TX

$75K - $97K/yr

... OPT, CPT, TN, J-1, etc.) Please Note: Onsite - This role is categorized as onsite. This means the ... You will analyze and implement product or machinery designs for the best method for manufacturing ...

Toyota

Data Scientist

Plano, TX · On-site +1

... OPT, F-1 CPT, TN, 'job flexibility benefits' (also known as I-140 or Adjustment of Status ... Hands-on experience using statistical or machine learning frameworks to solve a variety of real ...

General Motors

Controls Engineers

Arlington, TX · On-site

$75K - $97K/yr

... OPT, CPT, TN, J-1, etc.) Please Note: Onsite - This role is categorized as onsite. This means the ... You will analyze and implement product or machinery designs for the best method for manufacturing ...

PNC Bank

Technology Undergraduate Intern

Dallas, TX

$18 - $35/hr

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position ... Past example internship projects include machine learning development, automating current manual ...

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Machine Learning Internship Opt Cpt information

See Dallas, TX salary details

$25.2K

$42.1K

$87.1K

How much do machine learning internship opt cpt jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning internship opt cpt in Dallas, TX is $42,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What kinds of projects or tasks can a machine learning intern expect to work on during an internship?

As a Machine Learning intern, you can expect to be involved in projects such as data preprocessing, exploratory data analysis, model building, and performance evaluation. Interns often work with real datasets, contribute to feature engineering, and assist in deploying models or creating proof-of-concept solutions. Collaboration with data scientists, engineers, and sometimes product teams is common, providing valuable insights into real-world machine learning workflows. This hands-on experience helps interns build technical skills and gain exposure to best practices in the field.

What is a machine learning internship OPT CPT?

A Machine Learning Internship OPT CPT refers to an internship opportunity in the field of machine learning that is specifically available to international students in the U.S. on F-1 visas, who are eligible for Optional Practical Training (OPT) or Curricular Practical Training (CPT). These internships allow students to gain hands-on experience applying machine learning techniques in real-world projects while meeting their academic requirements or career goals. The roles typically involve tasks such as data analysis, building predictive models, and working with large datasets using programming languages like Python or R. OPT is usually used after graduation, while CPT is often part of the academic curriculum during the degree program.

What is the difference between Machine Learning Internship Opt Cpt vs Data Science Internship?

AspectMachine Learning Internship Opt CptData Science Internship
Required CredentialsTypically requires coursework or experience in machine learning, programming, and statisticsRequires knowledge in statistics, data analysis, and programming, often with a focus on data manipulation
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBroad industry sectors including finance, healthcare, tech, with data analysis focus
Employer & Industry UsageUsed by companies developing AI/ML products and servicesUsed across industries for data-driven decision making

While both internships involve working with data, the Machine Learning Internship Opt Cpt focuses on developing algorithms and models, whereas Data Science Internships emphasize data analysis and insights. Your choice depends on whether you want to specialize in machine learning techniques or broader data analysis tasks.

What are the key skills and qualifications needed to thrive as a machine learning intern OPT CPT?

To thrive as a Machine Learning Intern (OPT CPT), you need a solid background in computer science, mathematics, and statistics, often demonstrated by coursework or a related degree. Experience with programming languages like Python or R, familiarity with machine learning frameworks such as TensorFlow or scikit-learn, and understanding of data analysis tools are commonly required. Strong problem-solving abilities, curiosity, and effective teamwork and communication skills help interns stand out. These skills are crucial for successfully contributing to projects, learning from real-world data, and collaborating with multidisciplinary teams.
What job categories do people searching Machine Learning Internship Opt Cpt jobs in Dallas, TX look for? The top searched job categories for Machine Learning Internship Opt Cpt jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Machine Learning Internship Opt Cpt jobs? Cities near Dallas, TX with the most Machine Learning Internship Opt Cpt job openings:
Machine Learning Internship Opt Cpt jobs near you

Principal Data Scientist

Toyota

Plano, TX • On-site

Full-time

Medical, Retirement, PTO

Re-posted 8 hours ago

Toyota rating

7.2

Company rating: 7.2 out of 10

Based on 873 frontline employees who took The Breakroom Quiz

26th of 44 rated automakers

Job description

Overview

Who we are

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us.

Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, TN, (job flexibility benefits) (also known as I-140 or Adjustment of Status portability), etc.) now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.

Who we're looking for

Toyota's OneTech Data Science and Machine Learning Department is looking for a passionate and highly motivated Principal Data Scientist.

The primary responsibility of this role is to lead the design, development, and industrialization of advanced data science and machine learning solutions that drive measurable business value across multiple domains.

Reporting to the Senior Manager, Data Science and Machine Learning, the person in this role will support the Data Science and Machine Learning department's objective to accelerate the adoption of scalable analytics, machine learning, and AI solutions across the quality, service parts, and manufacturing domains.


What you'll be doing

  • Lead and contribute to the end-to-end delivery of complex data science initiatives across discovery, data exploration, experimentation, proof-of-concept, deployment, monitoring, and continuous improvement

  • Design and develop scalable machine learning, deep learning, computer vision, optimization, and generative AI solutions for business and manufacturing use cases

  • Translate ambiguous business problems into clear analytical approaches, technical designs, and deployable solutions that create measurable impact

  • Build production-quality solutions using Python, PySpark, SQL, and enterprise data science platforms to support robust model development and operationalization

  • Partner with product managers, data engineers, Machine Learning (ML) engineers, domain experts, and business stakeholders to ensure successful implementation and adoption of data science solutions

  • Drive technical excellence in model evaluation, interpretability, robustness, performance tuning, and production readiness

  • Contribute to reusable frameworks, standards, and best practices that improve team productivity and solution quality

What you bring

  • Master's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related quantitative field, and a minimum of 5 years of relevant experience

  • Strong hands-on experience delivering data science solutions across the full lifecycle from proof-of-concept to production deployment

  • Technical expertise in machine learning, statistical modeling, deep learning, optimization, computer vision, and generative AI methods

  • Hands-on proficiency with Python, PySpark, SQL, and modern data science development practices for scalable and maintainable solutions

Added bonus if you have

  • A PhD in a related quantitative field

  • Experience applying data science in product quality, manufacturing quality, or related industrial quality domains

  • Experience in automotive or advanced manufacturing environments

  • Proficiency with GenAI agents, including designing, orchestrating, or deploying agent-based AI workflows for business use cases and data science workflow efficiency improvement

  • Experience working in AWS cloud

  • Hands-on experience with enterprise platforms and tools such as AWS SageMaker developer tools, Databricks, Spark, Airflow, and GitHub

What we'll bring

During your interview process, our team can fill you in on all the details of our industry-leading benefits andcareer development opportunities. A few highlights include:

  • A work environment built on teamwork, flexibility and respect

  • Professional growth and development programs to help advance your career, as well as tuitionreimbursement

  • Team Member Vehicle Purchase Discount

  • Toyota Team Member Lease Vehicle Program (if applicable)

  • Comprehensive health care and wellness plans for your entire family

  • Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution fromToyota regardless of whether you contribute

  • Paid holidays and paid time off

  • Referral services related to prenatal services, adoption, childcare, schools and more

  • Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)

Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members' efforts to dream, do and grow without questioning that they belong.

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.

Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.

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