Job Description
To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred).
Minimum qualifications:
Currently enrolled in Bachelor's, Master's, or PhD degree program in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
Experience in one area of computer science (e.g., Natural Language Understanding, Human Computer Interactions, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas).
Preferred qualifications:
Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
About the job
Researchers across Google are working to advance in computing and build the next generation of intelligent systems for all Google 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.
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 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 Google, 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.
The program is open to students enrolled in a Bachelor's, Master's, 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 Google's research teams - including Google DeepMind, Google Research, Google Cloud and more. This allows us to find the right project match for your skills and interests.
Researchers across Google are working to advance the state of the art in computing and build the next generation of intelligent systems for all Google 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.
Responsibilities
Participate in research to develop solutions for real-world, large-scale problems.
💡 Editor's Career Guide for this Role
🎯 Why This Role Matters
This role focuses on extracting insights from complex datasets, designing robust data models, and supporting business decisions. It builds an excellent foundation for moving into data science, data engineering, or machine learning engineering.
⚡ Key Skills Needed
To stand out for this position, hiring managers for this Student Researcher role are looking for:
- ✓ Strong foundational knowledge in core engineering principles.
- ✓ Ability to adapt quickly to the fast-paced environment at Google.
- ✓ Proficiency in Python, Java, JavaScript.
💡 Application Tips
- •Tailor your resume: Highlight specific projects or experiences that align directly with current initiatives at Google.
- •Prepare for behavioral rounds: Be ready to discuss times you have handled failure, tight deadlines, or team conflicts.
- •Leverage the AI Assistant: Use the AI Assistant button above to evaluate your resume against this specific Student Researcher description before applying.
