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Deep Learning Research Intern Jobs (NOW HIRING)

PlusAI

Deep Learning Research Intern

Santa Clara, CA

$19 - $65/hr

... deep learning framework (PyTorch, Tensorflow, Jax) $19 - $65 an hour Your opportunities joining PlusAI Work, learn and grow in a highly future-oriented, innovative and dynamic field. Wide range of ...

PlusAI

Deep Learning Research Intern

Santa Clara, CA · On-site

$19 - $65/hr

... deep learning framework (PyTorch, Tensorflow, Jax) $19 - $65 an hour Your opportunities joining PlusAI Work, learn and grow in a highly future-oriented, innovative and dynamic field. Wide range of ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Experience with deep learning research and tools. * Proficiency in software design and development using Python and C++. * Experience working with large-scale datasets, data preprocessing, and ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Experience with deep learning research and tools. * Proficiency in software design and development using Python and C++. * Experience working with large-scale datasets, data preprocessing, and ...

Samaya AI

ML Research Intern

Mountain View, CA

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge ... Strong background in deep learning, large language models, and NLP techniques. Deep domain ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Experience with deep learning research and tools. * Proficiency in software design and development using Python and C++. * Experience working with large-scale datasets, data preprocessing, and ...

Microsoft

Research Intern - Deep Learning Group

Redmond, WA · On-site

$8.7K - $14K/mo

As a Research Intern with the Deep Learning group, you will have the opportunity to collaborate with an accomplished machine learning group at a world-class research organization. You are encouraged ...

Alljoined

Research Intern (Fall)

San Francisco, CA · On-site

$30/hr

We apply deep learning research to large scale EEG datasets collected on affordable hardware to ... About the Role As a Research Intern , you will contribute to building the computational ...

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

As of Jun 17, 2026, the average hourly pay for deep learning research intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deep Learning Research Intern, and why are they important?

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 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 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.
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Deep Learning Research Intern jobs near you
Deep Learning Research Intern

Deep Learning Research Intern

FUTUREWEI TECHNOLOGIES INC

San Jose, CA • On-site

$18 - $59/hr

Other

Posted 20 days ago

Job description

Deep Learning Research Intern

(Embodied AI, Multimodal Foundation Models & Efficient Systems)

About Us

Futurewei is a well-funded independent research organization with a long history of R&D innovation in Silicon Valley. We are committed to open-source development, fundamental research, and advancing next-generation intelligent systems through collaboration and standards development.

About the Role

We are seeking a strong deep learning research intern to join our ASID team in San Jose, CA. This role focuses on building learning systems for embodied intelligence, emphasizing how multimodal foundation models can be trained, compressed, and deployed efficiently in embodied and interactive environments.

Our work goes beyond static perception. We study intelligence grounded in embodied experience-the interaction of perception, action, and environment over time-while ensuring models remain efficient, scalable, and deployable in real-world systems.

Core Research Focus Areas

The intern will contribute to one or more of the following interconnected research directions:

1. Multimodal Foundation Models

  •   Fine-tuning and adaptation of large language models (LLMs), vision-language models (VLMs), and vision-language-action (VLA) models

  • Multimodal representation learning across vision, language, and action

  • Grounding foundation models in embodied experience and temporal interaction

2. Neural (Generative) Image and Video Compression

  • Learning-based image and video compression models

  • Efficient visual representations for perception and downstream embodied tasks

  • Joint optimization of compression efficiency, reconstruction quality, and task relevance

3. Embodied AI

  • Learning frameworks that couple perception, action, and environment dynamics

  • World models, predictive learning, and agent-centric representations

  • Embodied learning in simulation or real-world-inspired environments

4. Model Compression & Inference Acceleration for Embodied Systems

  • Model compression, pruning, quantization, and distillation

  • Efficient inference and deployment strategies for embodied and real-time applications

  • Hardware- and system-aware optimization for edge or robotic platforms

Responsibilities

  • Conduct research in one or more of the focus areas above

  • Design and implement learning algorithms and experimental pipelines

  • Develop prototype systems or demos for embodied and multimodal AI applications

  • Collaborate closely with researchers in a fast-paced, research-driven environment

Qualifications

  • MS or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Robotics, Mathematics, or a related field

  • Strong foundation in machine learning and deep learning

  • Experience or strong interest in multimodal models, embodied AI, compression, or efficient inference

  • Proficiency with PyTorch; experience with HuggingFace or similar frameworks is a plus

  • Solid Python programming skills

  • Research experience with publications in top conferences or journals preferred

  • Strong communication skills and ability to work effectively in a global research team

Location: San Jose, CA

Hourly interns pay range: $18 to $59, depending on degree-seeking academic program (PhD, Master's, Bachelor's, etc.), years of relevant experience, year in school, geographic location, credentials, qualifications, and other job-related factors.

Housing allowance and relocation benefit might be provided to intern candidates who meet the qualifications.  Additional details on the compensation package will be provided to candidates during the interview process.

Employment Type: Intern

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