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Pytorch Internship Jobs in Pflugerville, TX (NOW HIRING)

Aivra Health LLC

AI/ML Engineer Intern

Austin, TX · On-site

Internship (Full-Time / Part-Time) Duration: 3-6 Months (Extendable) About the Role We are looking ... PyTorch * Scikit-learn * Pandas * NumPy * OpenCV * NLP fundamentals * Deep Learning * Computer ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... PyTorch. * GPU kernel generation with high performance and fast build time. * A track record of success in mentoring junior engineers and interns is a bonus. With highly competitive salaries and a ...

All JobsPytorch JobsPytorch Internship JobsPytorch Internship Jobs in Pflugerville, TX

Pytorch Internship information

See Pflugerville, TX salary details

$8

$16

$22

How much do pytorch internship jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for pytorch internship in Pflugerville, TX is $16.28, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $18.08 per hour, depending on experience, location, and employer.

What types of projects and collaborative experiences can I expect during a PyTorch internship?

During a PyTorch Internship, you can expect to work on hands-on machine learning and deep learning projects that involve developing, testing, and optimizing models using the PyTorch framework. Interns often collaborate closely with research scientists, software engineers, and product teams to contribute to real-world applications and open-source initiatives. You may participate in code reviews, brainstorming sessions, and weekly progress meetings, gaining exposure to both independent tasks and team-based problem-solving. This environment fosters both technical growth and communication skills, preparing you for advanced roles in AI and machine learning.

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

To thrive as a PyTorch Intern, you need a solid background in Python programming, machine learning fundamentals, and familiarity with deep learning concepts, typically evidenced by coursework or project experience. Proficiency in PyTorch, version control systems like Git, and tools such as Jupyter Notebooks is highly valued. Strong problem-solving skills, attention to detail, and effective communication help interns contribute meaningfully to team projects and learn quickly. These skills and qualities are crucial for efficiently developing, testing, and deploying machine learning models in a collaborative environment.

What is the difference between Pytorch Internship vs Machine Learning Intern?

AspectPytorch InternshipMachine Learning Intern
Required SkillsProficiency in Pytorch, Python, deep learning conceptsPython, machine learning algorithms, data analysis
Work EnvironmentResearch labs, tech companies, AI startupsTech firms, research institutions, data-driven companies
Industry UsageDeep learning projects, neural network developmentBroader ML applications, data modeling

Both roles involve working with machine learning, but a Pytorch Internship specifically focuses on deep learning frameworks like Pytorch, while a Machine Learning Intern may work across various ML techniques. The Pytorch Internship is ideal for those specializing in neural networks and deep learning, whereas the Machine Learning Intern role covers a wider range of ML applications.

What is a PyTorch internship?

A PyTorch internship is a temporary position, often for students or recent graduates, where individuals gain hands-on experience working with the PyTorch deep learning framework. Interns typically assist with machine learning projects, develop and test models, and contribute to research or product development involving artificial intelligence. These internships provide valuable exposure to real-world applications of AI, opportunities to collaborate with experienced engineers and researchers, and a chance to enhance programming and problem-solving skills. Many internships also offer mentorship and may lead to full-time roles in the field.
What job categories do people searching Pytorch Internship jobs in Pflugerville, TX look for? The top searched job categories for Pytorch Internship jobs in Pflugerville, TX are:
What cities near Pflugerville, TX are hiring for Pytorch Internship jobs? Cities near Pflugerville, TX with the most Pytorch Internship job openings:
Pytorch Internship jobs near you

AI/ML Engineer Intern

Aivra Health LLC

Austin, TX • On-site

Other

Medical

This job post has expired today. Applications are no longer accepted.

Job description

AI/ML Engineer Intern

Location: New York, NY, USA (Hybrid/On-site/Remote)

Job Type: Internship (Full-Time / Part-Time)

Duration: 3–6 Months (Extendable)

About the Role

We are looking for a motivated AI/ML Engineer Intern to join our engineering team. You will work on developing, training, and deploying machine learning models while collaborating with experienced engineers on real-world AI applications. This internship offers hands-on experience in data processing, model development, and AI-driven software solutions.

Key Responsibilities
  • Assist in developing and deploying Machine Learning models.
  • Collect, clean, and preprocess datasets for model training.
  • Train, evaluate, and optimize ML models.
  • Work with supervised and unsupervised learning algorithms.
  • Develop and integrate AI solutions into web applications.
  • Build and maintain data pipelines.
  • Collaborate with Software Engineers and Data Scientists.
  • Document experiments, model performance, and technical findings.
Required Qualifications
  • Pursuing a Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • Knowledge of Python programming.
  • Understanding of Machine Learning fundamentals.
  • Familiarity with Data Structures & Algorithms.
  • Knowledge of statistics and probability.
  • Basic understanding of SQL.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.
Preferred Skills
  • Python
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • OpenCV
  • NLP fundamentals
  • Deep Learning
  • Computer Vision
  • Generative AI
  • AWS, Azure, or Google Cloud
  • Git & GitHub
What You''ll Gain
  • Hands-on experience building AI solutions.
  • Mentorship from AI/ML professionals.
  • Exposure to production ML workflows.
  • Opportunity for a full-time AI/ML Engineer role based on performance.
  • Professional networking opportunities.
  • Internship certificate and recommendation letter (performance-based).
Eligibility
  • Students graduating in 2026 or 2027 are encouraged to apply.
  • GPA of 3.0/4.0 or above preferred but not required.
  • Must be authorized to work in the United States or require sponsorship, if applicable.
Benefits
  • Flexible work schedule
  • Mentorship program
  • Learning & development opportunities
  • Networking events
  • Paid holidays (as per company policy)
  • Potential Pre-Placement Offer (PPO)

Apply