לוח משרות דרושים סטודנטים - מדעי המחשב, לחיפוש זה נמצאו 69 משרות

We are looking for a software student that will take part in our software projects and practical research activities.

You will have the opportunity to learn and gain experience related to many aspects of software and hardware. In addition, we encourage you to have your final academic project done here.

responsibilities:

Maintaining, updating and debugging existing software tools, primarily in Python. This part is around 70% of the expected activity.

Taking part in architectural research and development. Including: developing test cases, executing and presenting results.

Modeling, running, and analyzing AI neural networks to evaluate their behavior and performance on Cevas DSP processors and AI accelerators.



We are looking for a motivated and enthusiastic Data Science Student to support our AI and data management efforts. The role involves data collection and preparation, Deep Learning models architecture design, implementation, training, and evaluating algorithm results mainly in the medical imaging domain. Additionally, you will help with other data-related tasks as needed to support our operations. What you will be doing : Data Collection: Gather, organize and prepare (including augmentation) data from various storage locations using tools such as Excel and Python scripting. Develop python code for automatic data collection. Deep Learning Models – Implementation and Training: Analyze to decide what kind of model to use, implement it, train it and adapt to improve the model results. Evaluate Model Results: Visually and empirically assess AI model and other computer vision algorithms outputs, providing feedback and scoring to improve model performance. Assist in Other Data Related Tasks: Organize data from different sources, clean it and implement automatic data collection and preparation pipeline scripts. · Working according to Insightec Quality Policy, relevant Quality Procedures & Standards, and privacy & safety rules.

We are looking for a motivated and enthusiastic Data Science Student to support our AI and data management efforts. The role involves data collection and preparation, Deep Learning models architecture design, implementation, training, and evaluating algorithm results mainly in the medical imaging domain. Additionally, you will help with other data-related tasks as needed to support our operations.
What you will be doing :
Data Collection: Gather, organize and prepare (including augmentation) data from various storage locations using tools such as Excel and Python scripting. Develop python code for automatic data collection.
Deep Learning Models - Implementation and Training: Analyze to decide what kind of model to use, implement it, train it and adapt to improve the model results.
Evaluate Model Results: Visually and empirically assess AI model and other computer vision algorithms outputs, providing feedback and scoring to improve model performance.
Assist in Other Data Related Tasks: Organize data from different sources, clean it and implement automatic data collection and preparation pipeline scripts.
Working according to our Quality Policy, relevant Quality Procedures & Standards, and privacy & safety rules.

We are looking for Computer Science students (3rd year and above) to join us!

As a research student , you will work on one of the teams core challenges in modern LLM-based systems, such as:

Agentic RAG
Advanced retrieval strategies, hybrid search, query rewriting, context optimization, and LLM-driven reasoning pipelines
Automatic Evaluation of Agents
LLM-as-a-Judge, scoring frameworks, hallucination detection, and robust evaluation methodologies
Agents for Knowledge Creation
Building agents that autonomously generate, refine, and maintain enterprise knowledge bases
Ontology-Grounded RAG
Enhancing models with domain-specific knowledge and structured representations
Data Analysis Agents
Agents capable of analyzing complex operational, product, and support data at scale
Fine-tuning LLMs for customer domain adaptation
Automatic agent improvement from user feedback including learning from errors, evaluations, and human signals
You will work one day per week, embedded directly in the Ask-AI research group, collaborating closely with senior researchers and engineers.

Required Technical Support Specialist - Student Position
Description
Come Join us as a member of the Technical Support Team and part of our Operations, where you will take part in facilitating and managing technical support and monitoring.
Main Responsibilities:
Being part of our customer facing team responsible for technical support and troubleshooting
Working in a 24/7 support hours' shifts
Gathering detailed technical information as needed and investigating issues to solve problems, evaluate and escalate priority issues as needed.
Spotting common trends and underlying problems
Providing reliable resolution of critical and high impact problems for customers
Updating self-help documents so customers/employees can try to fix problems themselves
Working closely with our developers and technical teams to solve customers problems efficiently and improve our product
Creatively suggest and build software work-around solutions, including occasional scripting/ coding and customizations
Part and full-time/ weekends position available.

we are looking for a highly motivated student to join our Data Analytics team. This role includes exploring and extracting insights from millions of connected vehicles on the road. As a Data Analyst, you'll develop the next generation of cybersecurity and mobility data applications for the automotive industry.
This role is part-time and is Israel based.
Responsibilities:
Leading the data onboarding process of new customers.
Explore raw data of various customers as preparation for parsing and normalization in order to turn data into actionable insights and make data-driven decisions.
Use big data tools and AI to analyze large scale real-time data of connected vehicles and identify anomalies and emerging threats to create meaningful detectors that bring value to our customers.
Representing the data function both internally and externally, including customer-facing interactions.

Join a team developing next-generation AI accelerators, working at the intersection of AI algorithms, software, and hardware.

Joining us means being part of a company that solves real problems for real customers, while giving you the chance to grow, learn, and make an impact. 

What will your work be like? 

Develop backend features in modern C++ for a large-scale, production-grade system.

Investigate and resolve challenging bugs involving distributed systems, concurrency performance, and reliability.

Gain experience with linux, virtualization, storage, networking, and cloud technologies.

We help the world run better
At our company, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
What you'll do
As a DevOps Student, you will contribute to building and maintaining the backbone of our development and operational workflows, working with cutting-edge cloud-native technologies and modern infrastructure practices.
You will join a passionate team, embrace agile methodologies, and gain hands-on experience in CI/CD, monitoring, cloud infrastructure, and automation tools while learning from some of the best engineers in the field.
Support the development and maintenance of our CI/CD pipelines and deployment automation across various environments. Both in Jenkins and github actions.
Work with infrastructure as code (IaC) tools to define and manage cloud infrastructure in a scalable and reproducible way.
Collaborate with developers and platform engineers to streamline the development-to-production cycle.
Participate in Agile ceremonies and promote DevOps best practices across the organization.
Commit on project timeline and tasks, deliver on time with high quality.