Research Scientist: Large Language Models for Edge Computing – Summer Internship

Company Overview

Siemens Foundational Technology (FT) is the central R&D department of Siemens and thus has a key role to shape the future of our products. FT acts as a strategic partner to support the executive units of Siemens. In consequence the main research focus is on future technologies for industry, infrastructure, mobility, and healthcare. Our scientists located around the world help create and retain a technological edge for Siemens in the focus area of automation, electrification and industrial digitization. Siemens’ central research and development arm sees itself as a strategic partner to the company’s businesses. It plays a key role in achieving and maintaining leading competitive positions in the fields of electrification and automation while at the same time helping Siemens fully tap into the growth field of digitalization.

In this role you will work on-site in Princeton, NJ. The position is a fulltime position for at least 3 months and remote work is not available.

Role Summary

We are seeking a Summer Intern with knowledge of using large language models for analyzing images on edge infrastructure, with background in fine-tuning small language/vision models. The internship will focus on the development an intelligent system on Siemens Industrial Edge platform that focuses on extracting information from images that are relevant for smart manufacturing. This internship will provide you an opportunity to contribute to and experience the excitement and challenges of industrial research. During this internship, you will experience the practicality and challenges of industrial research and be part of a world class team. This internship position is an on-site full-time role in Princeton, NJ for the summer of 2025. Due to the nature of the internship, and access to hardware, a remote internship will not be considered.

Key Responsibilities

Develop demonstrators to leverage the Siemens Infrastructure and perform experiments with images from manufacturing domain.Collaborate and exchange ideas with experts in the fields of edge computing and intelligent systems using large language models.Apply latest advancements in small language models / vision modelsReview available academic literature to create an overview about existing approaches and results, as well as directions in academic researchSelect a subset of existing approaches and devise a strategy to create a Proof of Concept to allow further assessment of feasibility for automation Present and discuss results within the research team.Document the findings, architecture, results as a publishable scientific paper.

Education and Experience

Required: Enrolled in Computer science or engineering bachelors /masters program with an accredited University.Preferred: Enrolled in a PhD program with the background in artificial intelligence, computer science, or a related field

Basic Qualifications

Project examples on using language models and fine-tuning them for a dedicated use-casesProgramming/scripting skills in Python programming language is requiredExperience with fine tuning LLMs and training/testing ML modelsExperience with vision language modelsBasic understanding of transformer-based models, attention mechanisms and latest LLM architectures

Preferred Skills

Experience with RAG FrameworksExperience with Linux and command linesExperience with deploying and serving LLMsExperience in Quantization Aware Training (QAT)Experience in Quantization techniques (for vision-based models and LLMs)Outstanding written and verbal communication skills in English with an excellent problem-solving skills and can-do attitude Drive and motivation for career development and open to take responsibilities for challenging tasksAbility to quickly learn now technologies and frameworks

Work setting

This is an on-site internship position and required the person to be in the United States of America and hold valid work permit for employment in the US.

You’ll benefit from:  Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html The pay range for this position is $23.00-$50.00 per hour. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications and premium geographic location.  
Create a better #TomorrowWithUs 
About Siemens: We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers.  
Our Commitment to Diversity, Equity, and Inclusion:  We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.  Learn more about our commitment to DEI here. 
Protecting the environment, conserving our natural resources, fostering the health and performance of our people as well as safeguarding their working conditions are core to our social and business commitment at Siemens. They are an integral part of our Business Conduct Guidelines and our corporate strategy.  
LI-JSLI-Onsite




Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

Reasonable Accommodations
If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.
EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.

Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.

California Privacy Notice
California residents have the right to receive additional notices about their personal information. To learn more, click here.
Criminal History
Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.