LLM Research Intern
Sony Research India is inviting applications for an LLM Research Intern to work on large-language-model research with its scientists. The employer's listing describes a paid, six-month internship that is remote within India, beginning in the first week of November 2026. This is a research-intensive opportunity rather than a general introductory AI course or a role limited to connecting existing model APIs.
The working timetable is 9 a.m. to 6 p.m., Monday to Friday. Remote status does not make the role part-time. Applicants should check that they can sustain the stated schedule for the full duration, particularly if classes or another placement overlap.
Internship details
| Employer | Sony Research India |
|---|---|
| Position | LLM Research Intern |
| Work mode | Remote within India |
| Duration | 6 months |
| Start | First week of November 2026 |
| Hours | 09:00–18:00, Monday–Friday |
| Compensation | Paid; amount not disclosed |
| Deadline | Not disclosed |
Research focus
The project area includes multilingual language understanding and generation, translation, cross-lingual transfer, language interference and model behaviour. The employer wants someone interested in explaining and improving how models work, not only running familiar fine-tuning recipes.
Entertainment-domain applications are part of the scope, including subtitles, dialogue, scripts and conversational language. The intern may investigate when additional reasoning or context improves translation, and where relevant explore reinforcement learning, preference optimisation, bandits or related learning approaches.
The work involves turning research ideas into prototypes, evaluating them on benchmarks and real entertainment data, analysing results and discussing hypotheses with scientists. Contributions may support research papers, patents or internal prototypes. These are possible research outputs, not a promise that every intern will obtain a publication or patent.
Essential education and skills
The education condition has alternatives. The source asks for a PhD or Masters with a Computer Science background, or a Bachelor's candidate with hands-on Python experience in fine-tuning LLMs for language-processing applications. It would be inaccurate to describe the opening as PhD-only or to omit the practical-experience condition attached to the Bachelor's route.
Excellent Python and PyTorch coding skills are required. The employer also expects practical LLM fine-tuning experience, giving examples such as LoRA, QLoRA, parameter-efficient fine-tuning and instruction tuning. Previous self-driven deep-learning projects and an in-depth understanding of current LLMs and foundation models are must-have areas.
Strong mathematical aptitude and papers at conferences such as ICML, NeurIPS, ICLR, AAAI or ACL are preferred. Preferred credentials should not be turned into a compulsory published-paper condition. Equally, enthusiasm alone should not be advertised as replacing the practical skills expressly required.
Pay and location
The employer confirms that this is paid but does not publish a stipend amount or payment calendar. Jobsii is not inserting a guessed salary from another Sony internship, a salary-review website or an older advertisement. Confirm the individual amount and written terms with the recruiter.
The job header associates the employer with Bengaluru, while the actual work-location paragraph explicitly says remote within India. The article therefore preserves India-only remote work rather than assuming office attendance in Bengaluru or worldwide remote eligibility. No overseas work arrangement is promised.
No closing date is disclosed in the complete accessed vacancy. Check the employer's application page while applying; the lack of a stated deadline does not mean recruitment will remain open indefinitely. The verified page displayed an active application option.
Preparing a focused application
As practical advice, choose a deep-learning or LLM project you can explain clearly: the problem, data, baseline, experiment, evaluation and limitations. Distinguish your contribution from work done by a team. Discuss what you learned from results rather than presenting unsupported claims of state-of-the-art performance.
Share only code and data you have permission to disclose. Remove credentials, confidential datasets and private user information. These suggestions help demonstrate relevant research habits; they are not an additional assignment announced by Sony.
How to apply
- Open the Sony Research India LLM Research Intern advertisement.
- Read the education alternatives, must-have skills, India-only remote condition and full-time timetable.
- Use the employer listing's application option and follow its current instructions.
- Confirm availability for a six-month placement starting in early November and clarify the undisclosed stipend before accepting.
Source checked on 21 October 2026. Sony Research India is a private research employer, not a government institution. Jobsii explains the advertised opportunity and does not guarantee selection, compensation beyond the written offer, publication credit or future employment.
