Security Research Intern (LLMs)
Sunnyvale, CA, United States
Bosch Group
Moving stories and inspiring interviews. Experience the meaning of "invented for life" by Bosch completely new. Visit our international website.Company Description
The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.
Job Description
Bosch Research and Technology in Sunnyvale has an open position for a passionate, and experienced research intern to contribute to variety projects in applied cryptography, security, privacy, and machine learning. This is a unique opportunity for applied research, to have a real impact on Bosch’s business. Our team works in a wide range of topics spanning automotive system security, IT security applications, and security for and with machine learning.
For this position, we are looking for applicants to conduct research on privacy-aware large language models. This research will involve using open-source LLMs and fine-tuning them for specific privacy-enhancing tasks.
Intern Responsibilities:
- Understand/analyze the research problem, and propose viable/scalable approaches for solving it.
- Design an end-to-end scheme, implement a proof-of-concept prototype, and evaluate it.
- Present findings, collaborate, and contribute to drafting a publishable report (e.g., paper or patent).
Qualifications
Required Qualification:
- Enrolled in a Ph.D. program in computer science, electrical engineering, or closely related field.
- Experience in deep learning with familiarity with Language models, transformers such as GPT-3, Llama.
- Proficiency in Python and familiarity with deep learning frameworks such as TensorFlow, PyTorch.
Good to have:
- Strong publication record or evidence of having created or contributed to innovative solutions (e.g., patents or patent applications).
- Experience with Parameter-Efficient Fine-Tuning methods for foundational models.
- Experience with System Security and Privacy-Enhancing Technologies like Differential Privacy.
Additional Information
By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled
BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics)
- FIRST Robotics (For Inspiration and Recognition of Science and Technology)
- AWIM (A World In Motion)
The U.S. base salary range for this intern position is $43-68/hourly. 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.
Tags: Circuit Design Computer Science Deep Learning Engineering GPT GPT-3 Human Machine Interaction LLaMA LLMs Machine Learning Mathematics Open Source Privacy Python PyTorch Research Robotics Security STEM TensorFlow Transformers
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