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Research Engineer Internship Jobs in California (NOW HIRING)

Nace AI

Research Engineer

Palo Alto, CA · On-site

... research and engineering teams. Qualifications : Required : • Direct experience working with ... internships, or contributions to open-source projects. • First-authored publications on language ...

Nace AI

Research Engineer

Palo Alto, CA · On-site

Proven research and engineering experience with LLMs/VLMs, particularly in meta-learning or parameter-efficient adaptation, as evidenced by grants, fellowships, patents, internships, or contributions ...

Palantir

Software Engineer, Internship

Palo Alto, CA · On-site

$10K/mo

You'll create features used by research scientists, aerospace engineers, intelligence analysts, and ... This should be your final internship before graduating. To apply, please submit the following: * An ...

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Research Engineer Internship information

What types of projects can I expect to work on during a research engineer internship, and how are they typically structured within the team?

As a Research Engineer Intern, you will often be assigned to projects that support ongoing research and development efforts, such as building prototypes, analyzing datasets, or implementing novel algorithms. These projects are usually collaborative, with interns working alongside experienced engineers and researchers in small teams. You'll likely have a mentor who provides guidance and regular check-ins to track progress. The structure allows you to gain hands-on experience, contribute to real-world problems, and develop both technical and communication skills while learning industry best practices.

What does a research engineer intern do?

A Research Engineer Intern assists in designing, developing, and testing new technologies or products under the supervision of experienced engineers and researchers. Their tasks often include data collection, running experiments, analyzing results, and contributing to technical reports or publications. Interns may also help with coding, simulations, and prototyping, depending on the field. This role provides hands-on experience in applying theoretical knowledge to real-world engineering challenges.

What is the difference between Research Engineer Internship vs Research Engineer?

AspectResearch Engineer InternshipResearch Engineer
CredentialsTypically pursuing or recent graduate in engineering, science, or related fieldBachelor's, Master's, or Ph.D. in engineering, science, or related field
Work EnvironmentTemporary, project-based, often in academic or corporate R&D labsFull-time, ongoing role in research teams within industry or academia
Employer & Industry UsageInternships offered by tech companies, research institutions, and universitiesFull-time research roles in tech, aerospace, automotive, and other R&D sectors

The Research Engineer Internship is a temporary, entry-level position designed for students or recent graduates to gain hands-on research experience. In contrast, a Research Engineer is a full-time professional role involving ongoing research responsibilities. Internships often serve as a pathway to full-time research engineering roles, with the main differences being duration, experience level, and scope of responsibilities.

What skills and qualifications are needed to thrive as a research engineer intern?

To thrive as a Research Engineer Intern, you need a strong background in engineering fundamentals, analytical thinking, and a relevant degree-in-progress such as electrical, mechanical, or computer engineering. Familiarity with programming languages (like Python, MATLAB, or C++), simulation tools, and data analysis software is typically essential. Curiosity, problem-solving abilities, teamwork, and effective communication help interns stand out in collaborative research environments. These skills and qualities are crucial for contributing to innovative projects, adapting to new challenges, and delivering valuable insights within research teams.
What are the most commonly searched types of Research Engineer jobs in California? The most popular types of Research Engineer jobs in California are:
What are popular job titles related to Research Engineer Internship jobs in California? For Research Engineer Internship jobs in California, the most frequently searched job titles are:
What job categories do people searching Research Engineer Internship jobs in California look for? The top searched job categories for Research Engineer Internship jobs in California are:
What cities in California are hiring for Research Engineer Internship jobs? Cities in California with the most Research Engineer Internship job openings:
Research Engineer Internship jobs near you
Infographic showing various Research Engineer Internship job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Research Engineer

Nace AI

Palo Alto, CA • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Nace.ai is seeking an AI Researcher specializing in Language Models to join their dynamic team. The role involves advancing large language models and vision-language models by developing novel architectures for dynamic model adaptation and improving model reasoning and generalization.
Responsibilities:
• Developing novel architectures for dynamic model adaptation
• Improving model reasoning and generalization
• Effectively communicating breakthroughs to both research and engineering teams.
Qualifications:
Required:
• Direct experience working with Large Language Models (LLMs) or Vision-Language Models (VLMs) in research or production settings.
• Strong research background in Natural Language Processing, Machine Learning, or related disciplines with focus on language modeling.
• Proven track record in solving complex problems in language understanding, generation, or multimodal AI using rigorous quantitative methodologies.
• Demonstrated ability to clearly communicate research findings to diverse technical audiences.
• Proficient programming skills in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow), with experience in distributed training and model optimization.
Preferred:
• PhD in Computer Science, Computational Linguistics, or closely related field with focus on language models and adaptive learning systems.
• Proven research and engineering experience with LLMs/VLMs, particularly in meta-learning or parameter-efficient adaptation, as evidenced by grants, fellowships, patents, internships, or contributions to open-source projects.
• First-authored publications on language models, meta-learning, hypernetworks, or adaptive AI in recognized peer-reviewed conferences (ACL, EMNLP, NeurIPS, ICML, ICLR) or journals.
• Research expertise in LLM reasoning, hypernetworks, multi-task learning, meta-learning, designing novel LLM adaptation methods, Online Continual Learning
Company:
Enterprise AI product & research company, building long-horizon reasoning models and agents. Founded in 2024, the company is headquartered in Palo Alto, USA, with a team of 11-50 employees. The company is currently Early Stage.

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