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Machine Learning Internship Opt Cpt Jobs in Austin, TX

Cigna

Actuarial Internship - Summer 2027

Austin, TX · On-site +1

Spend your summer learning the skills to grow as a modern actuary and leader. The Cigna Group ... CPT/OPT/STEM, etc., now or in the future. * Recruitment Process : The recruitment process is all ...

New

Optiver

Quantitative Intern (Summer 2027)

Austin, TX · On-site +1

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a combination of structured education, market simulations, and exposure to modern research and AI tools ...

New

Optiver

Quantitative Intern (Summer 2027)

Austin, TX · On-site

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a combination of structured education, market simulations, and exposure to modern research and AI tools ...

New

Carr, Riggs & Ingram

Manager, Tax

Austin, TX · On-site

$110K - $144K/yr

... for everyone-from interns and admins to staff accountants and future partners. At CRI ... OPT, CPT or any other employment-based visa). CRI is a nationally recognized accounting and ...

Carr, Riggs & Ingram, LLC

Manager, Tax

Austin, TX · On-site

$110K - $144K/yr

... everyone--from interns and admins to staff accountants and future partners. At CRI ... OPT, CPT or any other employment-based visa). CRI is a nationally recognized accounting and ...

Carr, Riggs & Ingram, LLC

Part-Time CPA

Austin, TX · On-site

... everyone--from interns and admins to staff accountants and future partners. At CRI ... OPT, CPT or any other employment-based visa). CRI is a nationally recognized accounting and ...

Kaav Inc

Java AI Engineer-C2C

Austin, TX · On-site

$51.25 - $70.50/hr

Java AI Engineer-NO OPT and H1B Location: Austin, TX/ Sunnyvale, CA (Sunnyvale - 2 Positions ... Artificial Intelligence: 2-5 years Machine Learning: 2-5 years of experience in building or ...

Carr, Riggs & Ingram

Part-Time CPA

Austin, TX · On-site

... for everyone-from interns and admins to staff accountants and future partners. At CRI ... OPT, CPT or any other employment-based visa). CRI is a nationally recognized accounting and ...

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Showing results 21-40

All JobsMachine Learning Opt Cpt JobsMachine Learning Internship Opt Cpt JobsMachine Learning Internship Opt Cpt Jobs in Austin, TX

Machine Learning Internship Opt Cpt information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

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

As of Aug 7, 2026, the average yearly pay for machine learning internship opt cpt in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 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.
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Machine Learning Internship Opt Cpt jobs near you

Software Intern - AI Compilers

Tenstorrent University Jobs

Austin, TX • Hybrid

$50 - $70/hr

Other

Re-posted 20 days ago

Job description

At Tenstorrent, you will have the chance to accelerate your career by working on challenging engineering problems with a dedicated mentor and the opportunity to move between the digital design, verification, firmware, software and system engineering teams.  

This role is hybrid based in Austin, TX

Responsibilities:

  • Develop machine learning graph compiler 
  • Participate in the co-design of Tenstorrent's hardware and software stack 
  • Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stack 
  • Develop performance analysis and estimation infrastructure that feeds into Tenstorrent compiler 
  • Develop high-performance run-time engine 
  • Integrate the Tenstorrent software into leading machine learning frameworks 
  • Work closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applications 
  • Develop novel ML models and primitives that take advantage of Tenstorrent's breakthrough architecture to deliver orders of magnitude performance & efficiency improvements 

Experience & Qualifications:

  • Final year BS/MS or PhD candidate in EE/ECE/CE/CS with a strong GPA
  • Experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well 
  • Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus 
  • Strong problem solving and analytical skills
 

Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Apply