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Deep Learning Research Intern Jobs in Austin, TX

webAI Inc

AI Research Scientist

Austin, TX · On-site

Stay current on leading research in deep learning, generative AI, and distributed ML * Analyze experimental results and communicate insights clearly to technical and non-technical stakeholders

Crowe LLP

Machine Learning Intern

Austin, TX · On-site

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in ... research and exploration, development, deployment, support Using correct model selection and ...

Crowe LLP

Machine Learning Intern

Austin, TX · On-site

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in ... research and exploration, development, deployment, support Using correct model selection and ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Stay up to date with advancements in deep learning and experiment with novel approaches to improve model performance. • Collaborate with Cross-Functional Teams: Work closely with researchers ...

Bespoke Labs

Machine Learning Engineer

Austin, TX · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Optiver

Quantitative Intern (Summer 2027)

Austin, TX

You'll learn how quantitative research, data, technology, and AI-enabled tools come together to ... Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ...

Bespoke Labs

Machine Learning Engineer

San Marcos, TX · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Optiver

Quantitative Intern (Summer 2027)

Austin, TX · On-site

You'll learn how quantitative research, data, technology, and AI-enabled tools come together to ... Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ...

webAI Inc

AI Research Scientist

Austin, TX · On-site

The AI Research Scientist will work within webAI's Intelligence Lab as the "brain" of development ... Mastery of linear algebra, calculus, and probability; deep proficiency in Python and deep learning ...

webAI Inc

AI Research Scientist

Austin, TX · On-site

The AI Research Scientist will work within webAI's Intelligence Lab as the "brain" of development ... Mastery of linear algebra, calculus, and probability; deep proficiency in Python and deep learning ...

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Deep Learning Research Intern information

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How much do deep learning research intern jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for deep learning research intern in Austin, TX is $16.89, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

What does a deep learning research intern do?

A Deep Learning Research Intern assists in the development and experimentation of machine learning models, particularly neural networks, to solve complex problems in fields like computer vision, natural language processing, or robotics. They typically work under the guidance of experienced researchers, contributing to tasks such as data preprocessing, model training, and result analysis. Interns may also help implement and optimize algorithms, read and summarize research papers, and prepare reports or presentations on their findings. This role provides hands-on experience with state-of-the-art AI technologies and research methodologies.

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

To thrive as a Deep Learning Research Intern, you need a strong grasp of machine learning fundamentals, programming skills (especially in Python), and a background in mathematics or computer science, often supported by relevant coursework or research experience. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and proficiency in using data processing and visualization tools are typically expected. Creativity, problem-solving abilities, and effective communication help interns contribute novel ideas and collaborate within research teams. These skills are vital for developing, testing, and presenting cutting-edge AI models and solutions in a fast-evolving field.

What are some common challenges faced by deep learning research interns, and how can they overcome them?

Deep Learning Research Interns often encounter challenges such as managing complex datasets, tuning neural network architectures, and keeping up with the latest research developments. It's common to spend significant time troubleshooting code or optimizing models for better performance. Collaborating closely with mentors and team members, actively participating in research discussions, and consistently reading recent papers can help interns overcome these hurdles. Utilizing open-source tools and frameworks, along with clear documentation practices, also streamlines the research process.

What cities near Austin, TX are hiring for Deep Learning Research Intern jobs?

Cities near Austin, TX with the most Deep Learning Research Intern job openings:

Deep Learning Research Intern jobs near you

AI Research Scientist

webAI Inc

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted yesterday

Job description

About Us:
webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.
About the Role:
The AI Research Scientist will contribute to webAI's development of next-generation AI models and systems. In this role, you will design, train, evaluate, and optimize cutting-edge machine learning models including large language models, multimodal architectures, and on-device inference systems. You will work closely with research leadership, applied AI teams, and platform engineering to advance scientific discovery while ensuring that innovations translate into real-world impact.
This is a hands-on research role for someone who loves experimentation, solving complex problems, and building AI that is powerful, efficient, and privacy-preserving.
Responsibilities:
  • Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architectures
  • Conduct research on model efficiency, quantization, compression, and on-device deployment
  • Prototype novel model architectures, training methods, and inference strategies for distributed AI
  • Develop and evaluate benchmarks, datasets, and experimental frameworks to test model performance
  • Collaborate with engineering teams to integrate research findings into production systems
  • Stay current on leading research in deep learning, generative AI, and distributed ML
  • Analyze experimental results and communicate insights clearly to technical and non-technical stakeholders
  • Document research findings, contribute to internal papers, and present technical work across the organization
  • Identify emerging technologies and propose research directions aligned with webAI's strategic priorities

Qualifications:
  • 4+ years of experience (can be graduate research) in machine learning research, AI model development, or related fields
  • Strong expertise in deep learning architectures including transformers, CNNs, RNNs, and diffusion models
  • Hands-on experience training and fine-tuning large-scale models
  • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX
  • Experience building datasets, designing experiments, and validating ML model performance
  • Deep understanding of optimization techniques including quantization, distillation, pruning, and hardware-aware training
  • Strong problem-solving skills and ability to work independently on complex research tasks
  • Effective communication skills for presenting research findings to diverse audiences
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

Preferred Skills
  • Master's or PhD in Machine Learning, Computer Science, AI, or a related field
  • Experience with distributed training, edge inference, or on-device ML
  • Research experience in generative AI, reinforcement learning, or multimodal learning
  • Familiarity with privacy-preserving ML techniques such as federated learning
  • Experience contributing to academic publications, patents, or open-source ML projects
  • Comfort operating in a fast-paced, high-growth startup environment

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
  • Truth - Emphasizing transparency and honesty in every interaction and decision.
  • Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients.
  • Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
  • Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

Benefits:
We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.
  • Competitive salary
  • Comprehensive health, dental, and vision benefits package
  • 401(k) match
  • Equity options
  • $200/month Health & Wellness stipend
  • Continuing Education support
  • $500/year Function Health subscription
  • Free parking for in-office employees
  • Flexible Time Off (FTO)
  • Parental leave for eligible employees
  • Supplemental life insurance

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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