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Volunteering Deep Learning Research 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 ...

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

$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 ...

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 ...

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Volunteering Deep Learning Research information

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

To thrive as a Volunteering Deep Learning Researcher, you need a strong background in mathematics, programming (especially Python), and foundational knowledge of machine learning concepts, often supported by relevant coursework or self-study. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and version control systems like Git is typically required. Curiosity, collaboration, effective communication, and self-motivation are standout soft skills in this role. These skills and qualities are crucial for contributing meaningfully to research projects, learning independently, and advancing innovative solutions within a team-oriented research environment.

What is volunteering deep learning research?

Volunteering deep learning research involves contributing your time and skills to support research projects focused on deep learning, often within academic, nonprofit, or open-source communities. Volunteers may help with tasks such as data annotation, coding, literature reviews, or running experiments. This work can be a great way to gain hands-on experience, collaborate with experienced researchers, and make a positive impact without a formal employment relationship. Opportunities are available for individuals with varying levels of expertise, from students to professionals.

What types of projects and tasks can I expect to work on as a volunteer in deep learning research?

As a volunteer in deep learning research, you may be involved in a variety of tasks such as data preprocessing, literature reviews, implementing and testing machine learning models, or assisting with experiments. Depending on the research lab or team, you could also contribute to writing code, analyzing results, or preparing research papers and presentations. Collaboration is common, so you'll likely work closely with researchers, graduate students, and other volunteers. This role is an excellent opportunity to gain hands-on experience, deepen your understanding of deep learning concepts, and build a network within the AI research community.

What is the difference between Volunteering Deep Learning Research vs Data Scientist?

AspectVolunteering Deep Learning ResearchData Scientist
CredentialsTypically requires knowledge of deep learning frameworks, programming skills, and research experience; often no formal certification neededRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentResearch-focused, often nonprofit or academic settings, with flexible hoursCorporate or industry settings, structured work hours, project-driven
Employer & IndustryAcademic institutions, research labs, nonprofitsTech companies, finance, healthcare, and other industries

While both roles involve working with data and machine learning, volunteering deep learning research focuses on academic or nonprofit research projects often without formal compensation, whereas data scientists work in industry settings with a focus on applying data analysis to business problems.

More about Volunteering Deep Learning Research jobs
What cities are hiring for Volunteering Deep Learning Research jobs? Cities with the most Volunteering Deep Learning Research job openings:
What states have the most Volunteering Deep Learning Research jobs? States with the most job openings for Volunteering Deep Learning Research jobs include:
What job categories do people searching Volunteering Deep Learning Research jobs look for? The top searched job categories for Volunteering Deep Learning Research jobs are:
Volunteering Deep Learning Research 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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