Research Scientist PhD Intern, Summer 2027

Google; Hyderabad; On-site; INR 670,000 - 893,000; Full time

Job summary

Google LLC in Hyderabad seeks a Research Scientist PhD Intern for Summer 2027 to work on artificial intelligence and machine learning research. You will collaborate with researchers and engineers to design experiments, build AI models, and publish findings.

Ideal candidates are enrolled in a PhD program with strong ML/AI background, experience with Python/Java, and a track record of research or internships. The role emphasizes advancing research into scalable Google products and frameworks.

Qualifications

• Currently enrolled in a PhD program in Computer Science and Engineering, Machine Intelligence and Data Science, AI or a related technical field.
• Experience in one or more areas of Machine Learning (e.g., LLMs, Deep Learning, NLP, CV).
• Experience programming in Python, Java.

Responsibilities

• Participate in research to develop solutions for problems.
• Research, conceive, and develop AI/ML solutions to accelerate.
• Contribute to deeper understanding of limitations of AI/ML architectures, trade‑offs and optimizations.
• Lay down the next steps for adoption of the research into next generation product development.

Skills

PhD student

ML research

Python/Java

Education

PhD in Computer Science

Tools

TensorFlow

PyTorch

Job description

Research Scientist PhD Intern, Summer 2027

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info_outline

info_outline X The application open date is Oct 28, 2026 and the closing date is Nov 6, 2026

• Currently enrolled in a PhD program in Computer Science and Engineering, Machine Intelligence and Data Science, AI or a related technical field.


• Experience in one or more areas of Machine Learning (e.g., Large Language Models, Deep Learning, Natural Language, Computer Vision, etc).


• Experience programming in Python, Java.

Preferred qualifications:

• Currently enrolled in a full-time degree program and returning to the program after completion of the internship.


• Experience as a researcher, including internships, full-time, or at a lab.


• Experience contributing to research communities or efforts, including publishing papers in conferences or journals.


• Experience with one or more of AI/ML frameworks.


• Experience with security-related research, systems, or technologies.


• Ability to design and execute on research agendas.

About the job

Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google including Search, Maps, and Google Now, and is central to the success of Google Cloud and our computing, storage, and networking infrastructure.

Research Interns work with Research Scientists and Software Engineers to discover, invent, and build at scale. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. You are also expected to contribute to the wider research community by publishing papers.

Team Specifications:

About the job

Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google including Search, Maps, and Google Now, and is central to the success of Google Cloud and our computing, storage, and networking infrastructure.

Research Interns work with Research Scientists and Software Engineers to discover, invent, and build at scale. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. You are also expected to contribute to the wider research community by publishing papers.

Team Specifications:
Google’s Core Organization builds the foundational systems, technical frameworks, and platforms that power Google products worldwide. Within Core, our overarching mission is simple yet profound: to make Google work better for everyone at scale. Within Core, the Privacy, Safety, and Security (PSS) organization is dedicated to keeping everyone safe at scale—protecting billions of users, safeguarding their data, and securing Alphabet and the broader internet ecosystem. We operate on the principle that products must be secure by default and private by design.
Our research teams bridge the gap between theoretical computer science and planetary-scale engineering. We bring together researchers and engineers across cryptography, adversarial machine learning, privacy‑preserving computation, systems security, and trustworthy AI. As a Research Scientist in Core PSS, you will pursue foundational and applied scientific breakthroughs—investigating emergent threat vectors, developing next‑generation privacy and safety primitives, and creating mathematical and empirical guarantees that redefine digital safety. You will collaborate closely with core engineering hubs to translate novel proofs‑of‑concept into production deployments safeguarding billions of global users, while maintaining active contributions to the scientific community through first‑tier publications, open‑source initiatives, and academic partnershipsGoogle is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology’s greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large‑scale applications and entirely new platforms for developers across the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

Responsibilities

• Participate in research to develop solutions for problems.


• Research, conceive, and develop AI/ML solutions to accelerate.


• Contribute to deeper understanding of limitations of AI/ML architectures, trade‑offs and optimizations.


• Lay down the next steps for adoption of the research into next generation product development.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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