Sony First off Campus Recruitment 2023 | Ph.D. or Master’s/Bachelors from Computer Science or data science background | Remote

Sony is conducting an off-campus recruitment for a Data Science Intern with Ph.D. or Master’s/Bachelor from Computer Science or data science background | Remote

More details about this job position is provided below.

Sony First off Campus Recruitment 2023 | Ph.D. or Master’s/Bachelor from Computer Science or data science background | Remote

Job Role: Data Science Intern

Qualification: Ph.D. or Master’s/Bachelor from Computer Science or data science background

Job Location: Remote

Last Date: ASAP

Skills / About You :

Must-Have:

• Strong experience in Python 3.x.
• Good experience and understanding of Deep Learning concepts.
• Strong Experience in Pytorch/ Tensorflow and git repositories.
• Experience in research and familiarity with reading research papers and quick implementations of the available repositories.

Good to Have:

• Experience in Graph-based machine learning and GNNs.
• Knowledge of other types of networks.
• Previous experience in Recommendation Systems.
• Ability to navigate through literature surveys for given research ideas swiftly.

Education:

• Ph.D. or Master’s/Bachelors from Computer Science or data science background.

Work Location:

• Remote

Duration:

• 6 months starting September 25th, 2023
• 9:00 IST to 18:00 IST (Monday to Friday) full-time.

About the Role :

Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Group’s diverse businesses in electronics, entertainment, and financial fields. For our research center to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of engineering talent and create a technology talent bank to drive research excellence worldwide. Sony Research India is offering outstanding career opportunities around frontline technologies such as AI and data analytics.

Responsibility:

• Work with research scientists and other team members to contribute to new research work on recommender systems and other areas.
• Recognize patterns and locate, analyze, and interpret data.
• Code and test for the validity of new algorithms.

Interested and Eligible candidates can apply for this position using the Apply button below.