

In this role, you will be responsible for:
Development of large-scale generative AI framework software development
Preparing data for machine learning models at scale.
Building inference interfaces for ML model consumption.
Enabling ML Ops for continuous delivery and automation of ML pipelines.
Developing solutions that can evolve into sustainable AI productization platforms.
Leading the creation of machine learning workflows and infrastructure necessary to build AI models and demonstrate solution feasibility.
*BSc/MSc/PhD student in Computer Science, Electrical Engineering, or similar field. MSc/PhD candidates are highly preferred.
* Ability to work at least 20 hours a week (one day from Petach Tikva offices), with studies expected to continue for at least 1.5 years.
* Practical programming experience in Python and ideally also C# is required.
*Experience with popular generative AI (e.g., AWS (Claude) or Azure (Open AI) Cognitive AI) services is highly desired.
* Solid understanding of machine learning techniques and applications.
* Proficiency in developing large-scale models using widely utilized AI frameworks (e.g., PyTorch, TensorFlow).
משרות נוספות שיכולות לעניין אותך

The Analytical labs in MVE are responsible for debug activities on Intel's next-generation products (CPUs, chipsets, and networking products) using the leading-edge technology.
In your role, you will be responsible for supporting the labs' daily maintenance activities.
You will also be responsible for troubleshooting and minor repairs of various equipment, performing preventive maintenance, communicating with vendors, purchasing, and providing other logistical support and some tasks may include physical efforts. You will also be part of the lab safety team.
* Student of Associate Engineering, B.Sc., or any undergraduate academic degree, with a minimum of two remaining academic years towards the degree.
Good technical knowledge with hands-on experience in assembly, repairing, andproblem-solving.
* Previous experience in a technical field (electricity, mechanics, control, and more)An advantage to technical discipline studies like engineering in electrical, mechanical, or Control
Safety orientation.
* Excellent communication, problem-solving, planning, and organization skillsSelf-management - must
Ability to work a minimum of 4 days per week.
Student / InternShift 1 (Israel)Israel, HaifaThis role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

We are looking for a talented student to help us with our research and software development projects. In this role, you will work closely with multiple research and engineering teams to make cutting-edge NLP/MM models more efficient, optimize software, and contribute to internal frameworks and open-source projects.
As a Research student, you will focus on:-
Extra points are given for:

• Create visual content – presentations, videos, and photos – for internal and external communications.
• Support internal initiatives with creative ideas and engaging materials.
• Collaborate with teams to deliver impactful visual messaging.
• Manage creative projects from concept to execution.
• Stay up-to-date with trends and tools in visual communication.
•– helping plan and produce internal events, ceremonies, and engagement initiatives that foster a positive and inclusive workplace culture.
Requirements
• First/second-year student in Communication, Marketing, Design, Film, or related field.
• Creative thinker with strong visual storytelling skills.
• Experience in presentation design, video editing, and photography.
• Proficiency in tools like PowerPoint, Canva, Adobe Premiere, CapCut.
• Strong interpersonal and communication skills.
• Fluent in Hebrew and English.
• Social media experience – advantage.
• Passionate, proactive, and hands-on.

Yield engineers play a critical role in analyzing production data, identifying process deviations, and driving improvements to maximize product quality and output. As a Yield student, you will work alongside experienced engineers, support real-time manufacturing needs, and contribute to the continuous improvement of yield performance.
Responsibilities:
• Collect, analyze, and interpret inline and yield data from manufacturing processes.
• Identify trends, anomalies, and root causes for inline deviations and yield loss using statistical tools and engineering methods.
• Collaborate with process, equipment, and integration engineers to propose and implement corrective actions.
• Support the development and validation of models for process control and optimization.
• Document and communicate results clearly to cross-functional teams.
Why Join Us?
• Be part of a high-impact team driving quality and efficiency in semiconductor manufacturing.
• Gain hands-on experience with advanced technologies and data-driven engineering.
• Work in a dynamic, supportive environment with opportunities for growth and learning.
• M.Sc. student in Materials Engineering, Chemical Engineering, Mechanical Engineering, or Data Science.
• Strong analytical skills and experience in data analysis and problem-solving.
• High level of initiative and ability to self-learn.
• Experience with data analysis tools such as Python, JMP, Excel, or similar-advantage.
• Solid understanding of manufacturing operations and statistical process control-advantage.
• Ability to multitask and work under tight deadlines.
• Ability to work at least 20 hours per week (2.5 days a week).
• At least 2 years until graduation-required.

Engineering groups lead continuous improvement of processes and tools stability, reduce variance, cost reductions projects, and meet targets in an optimal way.
What will you do?
What are we looking for?

In this role, you will be responsible for:
Development of large-scale generative AI framework software development
Preparing data for machine learning models at scale.
Building inference interfaces for ML model consumption.
Enabling ML Ops for continuous delivery and automation of ML pipelines.
Developing solutions that can evolve into sustainable AI productization platforms.
Leading the creation of machine learning workflows and infrastructure necessary to build AI models and demonstrate solution feasibility.
*BSc/MSc/PhD student in Computer Science, Electrical Engineering, or similar field. MSc/PhD candidates are highly preferred.
* Ability to work at least 20 hours a week (one day from Petach Tikva offices), with studies expected to continue for at least 1.5 years.
* Practical programming experience in Python and ideally also C# is required.
*Experience with popular generative AI (e.g., AWS (Claude) or Azure (Open AI) Cognitive AI) services is highly desired.
* Solid understanding of machine learning techniques and applications.
* Proficiency in developing large-scale models using widely utilized AI frameworks (e.g., PyTorch, TensorFlow).
משרות נוספות שיכולות לעניין אותך