לוח משרות דרושים סטודנטים מתאים גם לסטודנטים

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.

Required Business Analyst Student Program
If you are an exceptional talent, you have an opportunity to launch your data career as a student business analyst!
Develop your data thinking, analyzing, and storytelling skills in our Student Analyst Program. You'll engage in lectures, workshops, and hands-on projects, all guided by industry experts and mentors. Upon completion, you will join us as a part-time student Business Analyst in one of our Analytics teams (Product Analytics , Marketing Analytics, Business Analytics, Revenue Analytics, Growth Analytics and Data Science)
On a day to day, you will:
Dive into our business world, discover the SaaS B2B industry, and the role Business Analysts play in a product-driven company.
Learn how to ask the right questions, identify business opportunities, and understand user behavior.
Gain experience with various data analysis methodologies, and work with tools like SQL, Tableau, and more.
Conceptualize, create, and maintain dashboards for tracking key metrics and experiments
Communicate your themes to multiple stakeholders in meaningful, digestible, and impactful ways.

We are seeking a motivated and curious Deep Learning Student Engineer to join our R&D team. This is a hands-on role for a student who wants to work with real-world data, explore deep learning techniques, and contribute to the ML infrastructure powering cutting-edge fiber-sensing technology.
What Youll Do:
Support Data Tools & Pipelines - Help develop and maintain data libraries, preprocessing utilities, and pipelines for large-scale acoustic and spatiotemporal data.
Experiment with ML & DL Models - Collaborate on the development, training, and evaluation of models for event detection, classification, and tracking.
Analyze & Visualize Real-World Data - Explore diverse datasets, extract insights, and build visualizations that support research and engineering work.
Collaborate Across Disciplines - Work with ML engineers, DL Researchers, physicists, and field teams to understand sensing challenges and contribute to ongoing projects.
Write Clean, Maintainable Code - Implement tools, experiments, and data-processing modules in Python, following good practices with guidance from senior engineers.
Learn and Grow - Stay updated on ML research, tools, and frameworks while gaining hands-on industry experience in a fast-paced environment.