Sony Work From Home Internship 2025 : Hiring for Freshers as Data Science Intern | Apply Now
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Sony Work From Home Internship 2025 : Sony Hiring role of Software Engineering Intern. Freshers Candidate are Also Apply. Candidates With B.E/B.Tech/B.Sc/M.E/M.Tech/M.Sc/PhD Qualification can apply for this Position. Sony WFH Jobs 2025 Candidates looking for Jobs in Bangalore can utilized for this opportunity. All Interested and eligible candidates can apply as soon as Possible. More Details about Sony Internship 2025 are given Below.
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Sony Work From Home Internship 2025 Details :
| Company Name | Sony |
| Website | https://www.sony.com/ |
| Job Role | Data Science Intern |
| Qualification | B.E/B.Tech/B.Sc/M.E/M.Tech/M.Sc/PhD |
| Experience | Freshers/Experienced |
| Stipend | Best in Industry |
| Job Location | Bangalore |
| Last Date | ASAP |
Essential Education:
Preferred Ph.D. candidate for this internship with thesis aligned towards causal inference or data science topics. We also welcome candidates with Bachelors and Master Degree who have sufficient project/prior internship work experience in Causal area.
Skills required:
Essential Skills:
- Strong understanding of mathematical foundations in causal inference, including potential outcomes and structural causal models.
- Knowledge of large language models (LLMs) and their underlying architectures.
- Proficiency in Python, PyTorch and HuggingFace.
- Experience working with causal inference libraries.
- Ability to work independently and dedicate full-time effort. .
Good to have Skills:
- Prior research experience in causal reasoning applied to machine learning or LLMs.
- Strong analytical and problem-solving skills.
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Key Responsibilities for Sony Work From Home Internship 2025:
- Conduct research on causal reasoning, leveraging potential outcomes or structural causal models.
- Implement and experiment with causal inference methodologies in Python and PyTorch.
- Work with causal inference libraries to develop and validate models.
- Apply causal reasoning techniques to enhance LLM interpretability and robustness.
- Collaborate with researchers to explore novel applications of causal inference in language models.
- Present findings through reports and discussions with the team.
Duration of the paid internship:
- The internship will be for 6 months starting April third week of 2025.
- The working hours are from 9:00 to 18:00 (Monday to Friday) full-time.
Our Values:
- Dreams & Curiosity: Pioneer the future with dreams and curiosity.
- Diversity: Pursue the creation of the very best by harnessing diversity and varying viewpoints.
- Integrity & Sincerity: Earn the trust for Sony brand through ethical and responsible conduct.
- Sustainability: Fulfil our stakeholder responsibilities through disciplined business practices.
How to apply for Sony Internship 2025 ?
All the interested and eligible candidates can apply for Sony Summer Internship 2025 online by the following link as soon as possible before Last Date.
Apply Link : Click Here To Apply
Also Apply in Johnson Controls Off Campus Drive 2025 : Click here
About Company :
Sony Group Corporation, commonly known as Sony and stylized as SONY, is a Japanese multinational conglomerate corporation headquartered in Kōnan, Minato, Tokyo, Japan. Sony, with its 55 percent market share in the image sensor market, is the largest manufacturer of image sensors, the second largest camera manufacturer, and is among the semiconductor sales leaders.
It is the world’s largest player in the premium TV market for a television of at least 55 inches (140 centimeters) with a price higher than $2,500 as well as second largest TV brand by market share and, as of 2020, the third largest television manufacturer in the world by annual sales figures. Sony’s TR-63 radio “cracked open the U.S. market and launched the new industry of consumer microelectronics.” By the mid-1950s, American teens had begun buying portable transistor radios in huge numbers, helping to propel the fledgling industry from an estimated 100,000 units in 1955 to 5 million units by the end of 1968.
Job Purpose:
We are seeking a highly motivated PhD candidate (preferably in their 3rd or 4th year) with a strong background in causal inference and an interest in causal reasoning. This is a full-time, remote internship where you will contribute to cutting-edge research in causal inference and its applications in LLMs.