INTERNSHIP DETAILS

LLM & Agentic AI R&D Intern

CompanyBosch Group
LocationSunnyvale
Work ModeOn Site
PostedMarch 30, 2026
Internship Information
Core Responsibilities
The intern will conduct research on Large Language Models and Agentic AI to solve academic and industrial problems. Key tasks involve integrating developed methods into prototype systems for Bosch applications like AI agents and RAG, and summarizing findings for conference papers or patents.
Internship Type
intern
Salary Range
$39 - $64
Company Size
162872
Visa Sponsorship
No
Language
English
Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page

About The Company
The Bosch Group is a leading global supplier of technology and services. It employs roughly 417,900 associates worldwide (as of December 31, 2024). According to preliminary figures, the company generated sales of 90.5 billion euros in 2024. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With its business activities, the company aims to use technology to help shape universal trends such as automation, electrification, digitalization, connectivity, and an orientation to sustainability. In this context, Bosch’s broad diversification across regions and industries strengthens its innovativeness and robustness. Bosch uses its proven expertise in sensor technology, software, and services to offer customers cross-domain solutions from a single source. It also applies its expertise in connectivity and artificial intelligence in order to develop and manufacture user-friendly, sustainable products. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. The Bosch Group comprises Robert Bosch GmbH and its roughly 470 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development. At 136 locations across the globe, Bosch employs some 86,900 associates in research and development, of which nearly 48,000 are software engineers. Instagram: https://www.instagram.com/boschglobal/ Facebook: https://www.facebook.com/BoschGlobal Glassdoor: https://bit.ly/3raTZnH Imprint: www.bosch.com/corporate-information Privacy statement: https://www.bosch.com/data-protection-notice-bosch-linkedin/
About the Role

Company Description

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch 

  • Reinvent yourself: At Bosch, you will evolve.
  • Discover new directions: At Bosch, you will find your place.
  • Balance your life: At Bosch, your job matches your lifestyle.
  • Celebrate success: At Bosch, we celebrate you.
  • Be yourself: At Bosch, we value values.
  • Shape tomorrow: At Bosch, you change lives.

Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

Job Description

In this internship, you will conduct research on Large Language Model (LLM) and Agentic AI to address academic and industrial challenges.

A few of your key responsibilities will include:

  • Collaborate with mentors and other colleagues to integrate the developed methods into prototype systems for Bosch applications such as AI agents, RAG, engineering assistance, information extraction, etc.
  • Summarize research findings in high-quality NLP conference papers (e.g., ACL, EMNLP, NAACL, AAAI, NeurIPS) and/or patent submissions.  

Qualifications

Basic Qualifications

  • Currently enrolled and pursing a Ph.D. or Master in Computer Science or Computer Engineering
  • Strong research experience in natural language processing, machine learning, and related fields.
  • Hands-on experience on large language models, including training, fine-tuning, and prompting.
  • Hands-on experience on state-of-the-art NLP / AI libraries and toolkits
  • Good communication and team-working skills
  • Minimum GPA of 3.0

Preferred Qualifications 

  • Publication record in top NLP or machine learning venues (e. g. ACL, EMNLP, AAAI, NAACL, TACL).
  • R&D experiences on LLM based agents, task planning / decomposition, and reasoning.
  • R&D experiences on retrieval-augmented generation.
  • R&D experiences on multi-modal foundation models.
  • R&D experiences on reinforcement learning

Additional Information

The U.S. base salary range for this intern position is $39.00 - $64.00. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.*

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

· FIRST Robotics (For Inspiration and Recognition of Science and Technology)

· AWIM (A World In Motion)

Equal Opportunity Employer, including disability / veterans. 

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. 

 

  • Legal Entity: Robert Bosch LLC
  • Key Skills
    Large Language ModelsAgentic AIResearchNatural Language ProcessingMachine LearningFine-TuningPromptingRAGTask PlanningReasoningReinforcement LearningMulti-modal Foundation ModelsNLP LibrariesAI ToolkitsCommunicationTeam-working
    Categories
    Science & ResearchTechnologySoftwareEngineeringData & Analytics