לוח משרות דרושים מתאים גם לסטודנטים, לחיפוש זה נמצאו 2,450 משרות

Requirements:
2nd-year student or above pursuing a B.Sc. in Mechanical Engineering, Materials Engineering, Chemical Engineering, Physics, or a related field.
Availability to work at least 3 shifts per week, during flexible afternoon and evening hours, including late-night hours as needed.
Hands-on technical skills, including prototyping, assembly, and working with laboratory equipment.
Strong troubleshooting and problem-solving abilities.
Strong analytical skills, including data analysis and interpretation of experimental results.
Ability to work independently, follow procedures, and maintain high attention to detail.
Good communication skills and ability to work effectively in a multidisciplinary team environment.
Experience in hardware or system testing and reliability activities - an advantage.
High level of English.

Requirements:
You are pursuing your doctoral research under the supervision of an advisor who is actively conducting research in LLMs domain, generative AI, or closely related fields. Please include your advisors name in your CV or application.
You have at least one full year of study remaining before completing your degree and are available to dedicate a minimum of 2 full days per week to the internship.
Full proficiency in Python and common machine learning and deep learning frameworks such as PyTorch, TensorFlow, or equivalent tools. Good familiarity with using coding agents like Claude code and GitHub copilot.
Preferred Qualifications
Publications at recognized conferences or journals in the LLMs domain are highly valued, particularly work involving post-training, model adaptation, agentic AI, or evaluation. Please include references or links to relevant publications with your CV and briefly describe your contribution.
Demonstrated knowledge and experience in designing rigorous experiments, curating high-quality datasets, developing benchmarks and graders, and applying statistical methods to evaluate and analyze model quality and behavior.
Strong written and verbal communication skills and the ability to collaborate effectively in a multidisciplinary, globally distributed team.
Previous professional experience in software engineering is considered an advantage.