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Deep Learning Intern Jobs in Pflugerville, TX (NOW HIRING)

IBM

Product Manager Intern 2027

Austin, TX · On-site

With a culture that values innovation, growth, and continuous learning, IBM Software places you at ... AI deep into a business. YOUR LIFE @ IBM In a world where technology never stands still, we ...

IBM

Product Manager Intern 2027

Austin, TX

With a culture that values innovation, growth, and continuous learning, IBM Software places you at ... AI deep into a business. YOUR LIFE @ IBM In a world where technology never stands still, we ...

Quantiq

Software Developer Internship (Summer 2027)

Austin, TX · On-site

$19 - $25/hr

As a Software Developer Intern at Quantiq, you will work in our Austin office, both independently ... Perform deep dive analysis and debugging of new and existing code * Conduct comprehensive analysis ...

DPR Construction

Construction Intern

Austin, TX

$21.12 - $46/hr

As a purpose-driven organization on a journey to be most admired, we rely on trust, shared leadership, open communication, disciplined action and a deep respect for the individual to drive ...

Moderna

Intern, CMC Development (Summer 2027)

Austin, TX · On-site

$20 - $60/hr

You will develop a deep understanding of control strategies to ensure manufacturing processes can consistently deliver mRNA medicines of the highest quality. This position is site-based, requiring ...

Moderna

Intern, CMC Development (Summer 2027)

Austin, TX · On-site +1

$20 - $60/hr

You will develop a deep understanding of control strategies to ensure manufacturing processes can consistently deliver mRNA medicines of the highest quality. This position is site-based, requiring ...

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All JobsDeep Learning Intern JobsDeep Learning Intern Jobs in Pflugerville, TX

Deep Learning Intern information

See Pflugerville, TX salary details

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How much do deep learning intern jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for deep learning intern in Pflugerville, TX is $16.02, 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 does a deep learning intern do?

A Deep Learning Intern typically assists with designing, developing, and testing deep learning models under the supervision of experienced machine learning engineers or researchers. Their tasks may involve data preprocessing, model training, evaluation, and implementing neural network architectures for tasks like image recognition, natural language processing, or other AI applications. Interns often help with literature reviews, experiment tracking, and preparing reports or presentations of their findings. This role provides hands-on experience in working with state-of-the-art machine learning frameworks such as TensorFlow or PyTorch.

What skills and qualifications are needed to thrive as a deep learning intern?

To thrive as a Deep Learning Intern, you need a solid background in mathematics, programming (especially Python), and foundational knowledge of machine learning concepts, often backed by coursework or relevant projects. Familiarity with frameworks like TensorFlow or PyTorch, as well as experience using version control systems like Git, are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and learn quickly in a dynamic research environment. These skills and qualities are essential for contributing meaningfully to cutting-edge AI projects and rapidly adapting to evolving technologies.

What types of projects can a deep learning intern expect to work on, and how is mentorship typically structured?

As a Deep Learning Intern, you can expect to work on projects such as developing and training neural network models, data preprocessing, and conducting experiments to improve model accuracy. Interns are often integrated into small teams where they collaborate closely with experienced machine learning engineers and researchers. Mentorship is usually structured through regular check-ins, code reviews, and collaborative problem-solving sessions, giving interns the opportunity to learn industry best practices and receive feedback on their work. This setup provides a supportive environment for skill development and hands-on experience with real-world deep learning challenges.

What are popular job titles related to Deep Learning Intern jobs in Pflugerville, TX?

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What job categories do people searching Deep Learning Intern jobs in Pflugerville, TX look for?

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Deep Learning Intern jobs near you
Infographic showing various Deep Learning Intern job openings in Pflugerville, TX as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $33,332 per year, or $16 per hour.

Graduate Quantitative Researcher, PhD (2027 Start)

Optiver

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Key responsibilities

  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance

  • Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities

  • Build and test statistical and stochastic models for pricing, forecasting, and risk management

Job description

As a Graduate Quantitative Researcher, you'll tackle some of the most challenging quantitative problems in global financial markets. Working alongside researchers, engineers, and traders, you'll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to better understand market behavior and identify trading opportunities.
Research at Optiver is highly applied and end-to-end. You'll frame research questions, test hypotheses, develop and validate models, and see your ideas evaluated in live market environments. Combining rigorous scientific thinking with modern AI-enabled research infrastructure, you'll transform insights into solutions that directly influence how we trade.
This opportunity is also available in our Chicago office.
What You'll Do:
Your onboarding
You'll participate in Global Optiver Academy, a structure onboarding program for graduates. It gives new joiners a shared foundation in how Optiver trades, builds systems, and manages risk before they move into their teams. As part of your onboarding, you'll gain exposure to the AI tools and technologies that support research and development across the business.
Your responsibilities
As a Quantitative Researcher, you will have the opportunity to contribute to several key areas:
  • Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities
  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance
  • Build and test statistical and stochastic models for pricing, forecasting, and risk management
  • Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency

What You'll Get:
You'll join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together, you'll tackle some of the toughest challenges in the financial markets by leveraging cutting-edge machine learning research to develop innovative, real-world solutions.
In addition, you'll receive:
  • The opportunity to work alongside best-in-class professionals from over 40 different countries
  • Highly competitive compensation package
  • Global profit-sharing pool and performance-based bonus structure
  • 401(k) match up to 50%
  • Comprehensive health, mental, dental, vision, disability, and life coverage
  • 25 paid vacation days alongside market holidays
  • Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more

What To Expect:
As part of our assessment process, you may be invited to participate in a multi-day, on-site evaluative program. Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders, you'll gain insight into how research is applied at Optiver and how PhD students transition successfully into industry. Attendance and successful completion of this program may be required to receive a full-time offer.
Who You Are:
  • PhD in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field, with outstanding academic achievements
  • Expected to graduate by mid-2027 and available to start full-time employment upon graduation
  • Solid foundation in mathematics, probability, and statistics
  • Excellent research, analytical, and modeling skills
  • Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-making
  • Proficiency in any programming language
  • Strong interest in working in a fast-paced, collaborative environment
  • Fluent in English with strong written and verbal communication skills

Who We Are:
Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Optiver is supportive of US immigration sponsorship for this role.
*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.

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