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Ai Research Intern Jobs in California (NOW HIRING)

Fujitsu

Agentic AI Research Intern

Santa Clara, CA · On-site

$45 - $60/hr

We are seeking a highly motivated PhD intern to join our team working at LLM-based coding agents ... You will collaborate closely with a team of AI researchers and engineers, contribute to system ...

Samaya AI

ML Research Intern

Mountain View, CA

At Samaya, our product delivers value to one of the most high-stake environments of AI applications ... The intern will collaborate closely with our team of experienced researchers on topics aligned with ...

Samaya AI

ML Research Intern

Mountain View, CA · On-site

At Samaya, our product delivers value to one of the most high-stake environments of AI applications ... The intern will collaborate closely with our team of experienced researchers on topics aligned with ...

Labelbox

Applied Research Intern

San Francisco, CA

Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize ... A strong foundation in AI and machine learning, backed by a Ph.D. or Master's degree in Computer ...

Labelbox

Applied Research Intern

San Francisco, CA · On-site

Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers ... Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize ...

Profluent

Research Intern, Computational

Emeryville, CA · On-site +1

$1.67K/wk

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models ... We are seeking a passionate Computational Research Intern to join moonshot projects at the ...

Alljoined

Research Intern (Fall)

San Francisco, CA · On-site

$30/hr

Research Intern Alljoined aims to solve the communication bottleneck between humans and technology ... AI applications. We are actively growing our world-class team of researchers to build the most ...

Alljoined

Research Intern (Fall)

San Francisco, CA · On-site

$30/hr

... AI applications. We are actively growing our world-class team of researchers to build the most ... About the Role As a Research Intern , you will contribute to building the computational ...

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How much do ai research intern jobs pay per month?

As of May 28, 2026, the average monthly pay for ai research intern in California is $6,355.17, according to ZipRecruiter salary data. Most workers in this role earn between $4,358.33 and $7,566.67 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Research Intern, and why are they important?

To thrive as an AI Research Intern, a strong background in computer science, mathematics, and machine learning, often demonstrated by ongoing enrollment in a relevant degree program, is essential. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and experience with data analysis tools are typically required. Analytical thinking, creativity, and effective communication skills help interns collaborate on research projects and present findings clearly. These competencies enable interns to contribute meaningful insights and innovations to AI research teams, driving progress in a rapidly evolving field.

What types of projects and responsibilities can an AI Research Intern expect during their internship?

As an AI Research Intern, you can expect to work on a range of projects that typically involve data collection, model development, and experimental evaluation. You'll likely assist with literature reviews, implement algorithms under the guidance of senior researchers, and help analyze results for ongoing research initiatives. Collaboration is key, as you'll frequently meet with mentors and cross-functional teams to discuss findings and refine your approach. This hands-on experience is a great opportunity to contribute to real-world AI solutions while building a strong professional network.

What does an AI Research Intern do?

An AI Research Intern assists in developing, testing, and analyzing machine learning algorithms and artificial intelligence models under the supervision of experienced researchers. Their responsibilities often include conducting literature reviews, running experiments, collecting and processing data, and preparing technical reports or presentations. Interns may also contribute to research papers and collaborate closely with a team to solve complex AI problems. This role provides valuable hands-on experience in applying theoretical AI concepts to real-world challenges.
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Ai Research Intern jobs near you

Member of Technical Staff - AI Research (Intern)

Gimlet Labs

San Francisco, CA • On-site

$19.75 - $25.50/hr

Full-time

Posted 9 days ago

Job description

About Us
Gimlet Labs is building the first heterogeneous neocloud for AI workloads.
As AI systems scale, the industry is hitting fundamental limits in power, capacity, and cost with today's homogeneous, vertically integrated infrastructure. Gimlet addresses this by decoupling AI workloads from the underlying hardware. Our platform intelligently partitions workloads into components and orchestrates each component to hardware that best fits its performance and efficiency needs. This approach enables heterogeneous systems across multi-vendor and multi-generation hardware, including the latest emerging accelerators. These systems unlock step-function improvements in performance and cost efficiency at scale.
On top of this foundation, Gimlet is building a production-grade neocloud for agentic workloads. Customers use Gimlet to deploy and manage their workloads through stable, production-ready APIs, without having to reason about hardware selection, placement, or low-level performance optimization.
Gimlet works with foundation labs, hyperscalers, and AI native companies to power real production workloads built to scale to gigawatt-class AI datacenters.
Mission
Gimlet Labs is seeking an Member of Staff focused on AI Research (Intern). As an AI Researcher (Intern), you will be evaluating and implementing techniques to drive performance and quality optimizations across the latest AI models. The research team is responsible for exploring new model architectures and experimenting with novel inference efficiency techniques such as KV caching and FlashAttention. The team will design and prototype frameworks leveraging fine-tuning and knowledge distillation to push the boundaries of model performance.
Responsibilities
  • Monitoring and evaluating cutting-edge AI research
  • Researching ways to improve model accuracy, performance and efficiency
  • Prototyping frameworks with the latest fine-tuning and distillation techniques
Qualifications
  • Currently pursuing degree in computer science, engineering, or comparable area of study
  • Experience with AI/ML or distributed systems.
Preferred Qualifications
  • Experience with PyTorch, TensorFlow, ONNX and other AI frameworks
  • Familiarity with distributed systems and orchestration frameworks (e.g., Kubernetes)
  • Software development experience with Python and C++
  • Understanding of the latest AI research and techniques

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