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Required PhD Machine Learning Research Intern
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Role Description
About the team: The internship is open for PhD students in a machine learning related field like Planning with LLMs, Multilingual Training Adaptation, Recommender System and Ranking, Bidding, Synthetic Data Generation, Entity Representation Learning, Reinforcement learning and Classification.
Applicants are asked to attach with their CV the email address of their supervisor or co-supervisor. This email will be used to ask for a recommendation letter at a later date.
Please complete your application before March 31st, 2026. Participation in the internship program requires that you are located in Israel for the duration of the internship program (3 months)
Role Description:
As a Machine Learning Research intern at Booking.com in Tel-Aviv, you will have the opportunity to tackle real world problems by pushing the boundaries of the state-of-the-art, with the goal of publishing your work.
You will join us for a 3-month internship (preferred start date: May) focused on Data-Centric AI. In this project, you will tackle the "glass ceiling" of NLU performance: inherent ambiguity in annotation guidelines and label taxonomies. You will move beyond traditional noise reduction to investigate why human annotators disagree and how these disagreements corrupt "ground truth," directly influencing how we evaluate and improve state-of-the-art models.
Key Job Responsibilities and Duties:
Survey the Landscape: Conduct a comprehensive literature review to synthesize current approaches to data ambiguity, identifying the strengths and limitations of existing methods in handling label noise and taxonomy gaps.
Innovate & Design: Devise novel techniques and metrics to detect, quantify, and resolve inherent ambiguities within NLP datasets and annotation guidelines.
Experiment & Validate: Design and execute rigorous experiments to evaluate your proposed methods, measuring their impact on model reliability and ground truth accuracy.
Publish Findings: Summarize your conclusions and contribute to writing a research paper with the aim of submitting to a top-tier NLP conference (e.g., ACL, EMNLP).

We are seeking a highly motivated, detail-oriented Implementation assistantto support our team. In this role, you will assist with the preparation, review, and quality assurance (QA) of materials submitted for MLR. Success in this role requires strong English skills, the ability to learn quickly, being agile, fast and oriented to details.

This is an hourly role based on workload - ideal for candidates seeking flexible scheduling, including students who want to gain experience in a digital health technology company.

Responsibilities:

MLR materials preparation, including decks of program screenshots and annotations
Review & QA of the materials to ensure meeting the highest quality standards and comply with established guidelines

We are looking for a graduate student of computer sciences or electrical engineering to support research work for next generation architectures of networking. In this role, you will explore and analyze new advancements of computer architectures and participate in building innovative new architectures.
Responsibilities:
- Assist in research of innovative computing and network architectures
- Analyze performance bottlenecks and architectural strengths and weaknesses
- Develop new ideas for implementation by product lines.

Our team researches and develops a real-time parallel and distributed computing software infrastructure, which is used for the research, development and prototype of wireless signal processing algorithms (6G) with strict real-time constraints. We are looking for an outstanding student, who will take part in the research, architecture design, implementation and real-time performance optimization of the system.

We are looking for a talented Student Security Developer to join our team and contribute to developing core capabilities such as:
Large-scale malware analysis platforms that support on-demand malware execution and behavior monitoring.
Crawlers to identify emerging malware in the wild and perform malware behavior analysis.
Collaboration with OS internals experts, security researchers, and data scientists to research and implement advanced cybersecurity capabilities.
This is an exciting opportunity for a student to dive into the cybersecurity profession while gaining hands-on experience in cutting-edge technologies during their studies.
Responsibilities
Develop features autonomously, from ideation to production.
Collaborate with data scientists and security researchers to implement malware detection mechanisms.
Assist in designing and guiding performance, operational, and testing phases.

We are looking for a NOC Engineer to join our growing TechOPS team.
The position consists of 4 shifts a week on nights and weekends in our R&D Center in Petach Tikva.
This position provides a great opportunity to enter the high-tech world and relevant for for students and graduates of technical degree or equivalent experience.
Responsibilities include debugging complex technical issues, investigating logs, writing SQL queries and monitoring our services.

The Student Researcher Program fosters academic collaborations by hiring students onto research projects aligned to company priorities in scientific advancement. The program offers placements on teams across our company, for research, engineering, and science roles. As a Student Researcher, you will have the opportunity to participate in research projects focused on developing solutions for real-world, large-scale problems.
Student Researcher projects are exploratory and direct experiences that drive scientific advancement across a multitude of research areas. Students will work collaboratively on projects that explore innovative research challenges and support the creation of breakthrough technologies.
The program is open to students enrolled in a Bachelors, Masters, or PhD program. Projects vary in duration and location based on team and student requirements. It is required that you are located in one of the specific country locations identified for this role for the full duration of the engagement. When you apply, you will be considered for Student Researcher positions across all of our company's research teams, including our company DeepMind, our company Research, our company Cloud and more. This allows us to find the right project match for your skills and interests.
Researchers across our company are working to advance the computing and build the next generation of intelligent systems for all our company products. To achieve this, we invest in foundational research and work on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Whether we're shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people.
our company Research is building the next generation of intelligent systems for all our company products. To achieve this, were working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. our company Research teams collaborate closely with other teams across our company, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
Responsibilities
Participate in research to develop solutions for real-world, large-scale problems.

we are looking for a Test Infrastructure & Automation Student.
You'll be exposed to advanced lab setups, real-time testing systems, and tools that support product release decisions, all while being part of a high-performance engineering culture.
This is an ideal role for a student studying engineering or computer science, eager to gain real-world experience in system validation and automation.
Roles and responsibilities
Design, develop, and maintain automated test infrastructure.
Develop tools to simulate, validate, and verify complex hardware/software systems.
Develop software interfaces to control and monitor test equipment (e.g., oscilloscopes, power supplies, signal generators, protocol analyzers).
Integrate AI/ML models for test optimization, log analysis, anomaly detection, root cause identification, and system insight.
Create dashboards, reports, and intelligent insights from test data and logs.

We are a leading global software company dedicated to the world of computer-aided design, 3D modelling and simulation- helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world-class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.
Position Overview:
Are you passionate about working in a collaborative, Agile environment where you can contribute to both front-end and back-end development? Join us in building high-performance, reliable solutions that seamlessly integrate with our digital ecosystem. Technology Operations is looking for a Full Stack React Software Engineer (Student) to join our DevOps Automation Testing Platform team within Digital Manufacturing, based at our Airport City, Tel Aviv office. If you enjoy creating and maintaining scalable web applications that power automated testing workflows for advanced manufacturing solutions, wed love to hear from you!
Responsibilities:
Develop and maintain full-stack applications using React.js (front-end) and C# (back-end).
Collaborate with multifunctional teams (QA, DevOps, Product Owners) to design and optimize digital manufacturing solutions.
Integrate APIs and microservices for seamless communication between front-end and back-end systems.
Ensure code quality and maintainability through standards in testing, documentation, and version control (Git).
Participate in Agile ceremonies and contribute to continuous improvement initiatives.
Troubleshoot and resolve technical issues across the stack, ensuring high availability and performance.