Student Researcher BS/MS Winter-Summer 2027 – Google – Waterloo, ON
Google is looking for curious, driven students to join its Student Researcher Program in Waterloo, Ontario for the Winter–Summer 2027 term. This is a chance to work alongside some of the brightest minds in computing — on teams like DeepMind, Google Research, and Google Cloud — tackling real-world problems at a genuinely massive scale.
Rather than a traditional internship, this role is built around collaborative research projects that push the boundaries of what’s scientifically possible. You’ll be matched to a project that fits your skills and interests, with work spanning areas from machine learning and artificial intelligence to quantum information science, natural language understanding, and beyond.
About the Role: Student Researcher, BS/MS
As a Student Researcher at Google, you’ll be embedded in one of the company’s many research teams to explore innovative challenges and contribute to breakthrough technologies. Projects are exploratory by nature — you won’t just be executing tasks, you’ll be helping shape the direction of research that could affect billions of people. Work is conducted in-person and candidates must be located in the identified country for the full duration of the engagement.
This program is designed to foster genuine academic collaboration, placing students on teams where scientific advancement is the primary goal. Whether the focus is on optimizing algorithms, advancing AI systems, or contributing to sustainability initiatives, the work is meaningful and the environment is built around intellectual rigour and teamwork.
Benefits and Salary
Google offers a competitive salary for this role. The pay range in Canada is $99,000–$102,000 CAD depending on job-related skills, experience, and relevant education or training, with a 0% bonus target. Additional benefits are available — visit Google’s careers page to learn more about what’s included.
Job Details
📌 Job Type: Student Researcher / Internship
🏢 Company: Google
📍 Location: Waterloo, ON, Canada
🆔 Requisition ID: 114416552819729094
💰 Pay: $99,000–$102,000 CAD
Responsibilities
Student Researchers at Google are active contributors to ongoing research initiatives — not passive observers. Your day-to-day will involve working collaboratively on exploratory projects, applying technical knowledge to open research questions, and helping advance the state of the art in computing and intelligent systems.
- Participate in research projects focused on developing solutions for real-world, large-scale problems
- Collaborate with research teams across Google, including DeepMind, Google Research, and Google Cloud
- Explore innovative research challenges that support the creation of breakthrough technologies
- Apply expertise in areas such as machine learning, natural language understanding, computer vision, or related fields
- Contribute to foundational research that supports the next generation of intelligent systems across Google products
- Advance scientific knowledge in areas including AI, algorithmic optimization, data science, or quantum information science
Requirements / Skills
Google is seeking students with a strong technical foundation and a genuine passion for research. The ideal candidate is currently enrolled in a relevant degree program, has hands-on experience in at least one area of computer science, and is eager to contribute to meaningful scientific work. Preferred candidates are enrolled in a PhD program and plan to return to their studies after the placement.
- Currently enrolled in a Bachelor’s or Master’s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field
- Experience in one area of computer science such as Natural Language Understanding, Human Computer Interactions, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, or Software Development
- Currently attending a degree program in Canada (preferred)
- Programming experience in one or more general-purpose languages such as Python, Java, JavaScript, or C/C++ (preferred)
- Research experience including internships, full-time positions, or lab work (preferred)
- Contributions to research communities, such as publishing papers in major conferences or journals (preferred)
- Enrolled in a full-time degree program and planning to return after completing the placement (preferred)
How to Apply
To apply, visit the official Google job posting using the link below. Make sure your resume is up to date and reflects your relevant research experience and technical skills before submitting.
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Job Summary & Tips for Applying
Quick Summary & What to Highlight: This Student Researcher (BS/MS) role at Google in Waterloo is perfect for candidates who excel in computer science research, machine learning or AI, and technical problem-solving at scale. On your resume, emphasize any experience with research projects, academic publications, or lab work, attention to detail, and your ability to work in a fast-paced, exploratory environment. If you’ve previously worked in a research lab, academic setting, or technical internship, make sure to highlight specific achievements and responsibilities that align with this position.
Resume & Application Tips: Before applying, tailor your resume to match the job description. Include keywords like machine learning, natural language understanding, and research collaboration that appear in the posting. Quantify your achievements where possible (e.g., “co-authored a paper published at NeurIPS” or “implemented a deep learning model achieving X% accuracy”). Write a brief cover letter expressing your genuine interest in Google‘s research mission and why you’re excited about this opportunity in Waterloo. Double-check your application for spelling errors and ensure your contact information is current.
Interview Preparation: If selected for an interview, research Google‘s research teams — including DeepMind and Google Research — their recent publications, and key areas of focus beforehand. Prepare specific examples using the STAR method (Situation, Task, Action, Result) to demonstrate your research and technical skills. Common questions may include scenarios about research methodology, handling ambiguous problems, and collaborating across disciplines. Dress appropriately for a tech research environment, arrive 10–15 minutes early (or log in early for virtual interviews), and bring copies of your resume. Prepare thoughtful questions about the research project, team dynamics, and how the role connects to your academic goals. After the interview, send a thank-you email within 24 hours reiterating your interest in the position.
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