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Machine Learning Winter Internship Jobs in Texas

Crowe

Audit Intern Winter 2028

Dallas, TX · On-site

$27 - $42/hr

During your internship, you'll sharpen your analytical skills as you audit client financials ... job learning opportunities. Quality is our top priority, and by focusing on innovation and ...

Crowe LLP

Audit Intern Winter 2028

Houston, TX

$27 - $42/hr

During your internship, you'll sharpen your analytical skills as you audit client financials ... job learning opportunities. Quality is our top priority, and by focusing on innovation and ...

Crowe

Audit Intern Winter 2028

Austin, TX · On-site

$27 - $42/hr

During your internship, you'll sharpen your analytical skills as you audit client financials ... job learning opportunities. Quality is our top priority, and by focusing on innovation and ...

Crowe LLP

Audit Intern Winter 2028

Dallas, TX

$27 - $42/hr

During your internship, you'll sharpen your analytical skills as you audit client financials ... job learning opportunities. Quality is our top priority, and by focusing on innovation and ...

Crowe LLP

Audit Intern Winter 2028

Austin, TX

$27 - $42/hr

During your internship, you'll sharpen your analytical skills as you audit client financials ... job learning opportunities. Quality is our top priority, and by focusing on innovation and ...

Crowe

Audit Intern Winter 2028

Houston, TX · On-site

$27 - $42/hr

During your internship, you'll sharpen your analytical skills as you audit client financials ... job learning opportunities. Quality is our top priority, and by focusing on innovation and ...

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All JobsMachine Learning Winter JobsMachine Learning Winter Internship JobsMachine Learning Winter Internship Jobs in Texas

Machine Learning Winter Internship information

What is a machine learning winter internship?

A Machine Learning Winter Internship is a short-term, practical training program typically offered during the winter months for students or early-career professionals interested in machine learning. Interns work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced mentors. The internship provides hands-on experience with tools and techniques used in the field, helping participants build technical skills and gain industry exposure. These positions are often offered by tech companies, research labs, or startups and can be either remote or onsite. Successful completion of a machine learning internship can enhance a candidate's resume and open up further career opportunities in artificial intelligence and data science.

What types of projects and tasks can I expect to work on during a machine learning winter internship?

During a Machine Learning Winter Internship, you can expect to work on hands-on projects such as data preprocessing, building and evaluating machine learning models, and assisting with research experiments. Interns often contribute to real-world applications, such as developing predictive analytics tools, optimizing algorithms, or supporting deployment efforts. Collaboration is common, as you'll work closely with data scientists, engineers, and sometimes product teams, giving you exposure to the full machine learning workflow. This environment provides an excellent opportunity to apply theoretical knowledge, gain practical experience, and build a professional network in the field.

What are the key skills and qualifications needed to thrive as a machine learning winter intern, and why are they important?

To thrive as a Machine Learning Winter Intern, you generally need a solid foundation in mathematics, programming (especially Python), and a basic understanding of machine learning concepts, often acquired through coursework or relevant projects. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries like Pandas and NumPy is typically required. Strong problem-solving abilities, collaboration, and curiosity help interns stand out in team-based, fast-paced environments. These skills are crucial for effectively contributing to real-world projects and quickly learning from experienced professionals during the internship.

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

AspectMachine Learning Winter InternshipData Science Winter Internship
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some knowledge of ML frameworksUndergraduate or graduate in Statistics, Math, CS; familiarity with data analysis tools
Work EnvironmentResearch labs, tech companies, startups focusing on ML modelsData analysis, visualization, and interpretation in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, consulting

While both internships involve working with data, the Machine Learning Winter Internship emphasizes developing and applying ML algorithms, whereas the Data Science Winter Internship focuses on analyzing data, creating reports, and deriving insights. Candidates should choose based on their specific skills and career goals in AI or data analysis.

What are popular job titles related to Machine Learning Winter Internship jobs in Texas?

For Machine Learning Winter Internship jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Machine Learning Winter Internship jobs in Texas look for?

The top searched job categories for Machine Learning Winter Internship jobs in Texas are:

What cities in Texas are hiring for Machine Learning Winter Internship jobs?

Cities in Texas with the most Machine Learning Winter Internship job openings:

Machine Learning Winter Internship jobs near you
Infographic showing various Machine Learning Winter Internship job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning for Physical Design Intern - CPU/AI Hardware

Tenstorrent University Jobs

Austin, TX • On-site

$50 - $70/hr

Internship

Re-posted 18 days ago

Job description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
As an intern in the Physical Design (PD) team, you will work on high-performance designs going into industry leading AI/ML architectures. The student coming into this role will develop ML-based tools and flows to improve the PPA (Performance Power Area) and turnaround time for all aspects of chip implementation from synthesis to tapeout for various IPs. The work is done collaboratively with a group of highly experienced engineers across various domains of the ASIC.
This role is on-site, 40 hours, based out of Santa Clara, CA or Austin, TX.
Who You Are
  • Currently pursuing a BS/MS/PhD in EE/ECE/CE/CS.
  • Possessing deep knowledge of math, probability, statistics, and algorithms.
  • Experienced in solving problems with Machine Learning models.
  • Skilled in algorithms, data structures, and software development using Python and C/C++.

What We Need
  • Ability to develop ML-based tools to improve PPA and turnaround time for chip implementation.
  • Work closely with other PD engineers to develop ML tools for areas such as synthesis, PnR, timing closure, and power grid analysis.
  • Responsibility for selecting appropriate datasets, data representation methods, and implementing new algorithms.
  • Capability to run machine learning tests, perform statistical analysis, and fine-tune models using test results.

What You Will Learn
  • How to apply ML systems and flows to high-performance designs for industry-leading AI/ML architectures.
  • Practical experience in extending existing ML systems and implementing cutting-edge algorithms.
  • Gain exposure to core physical design fundamentals, including synthesis, place and route, and timing analysis.
  • Experience collaborating with a group of highly experienced engineers across various domains of the ASIC implementation.

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.
Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set by the U.S. government.
Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.
If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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