Sony Research India Hiring LLM Research Intern (Remote, Paid, 6 Months)

Introduction

Sony Research India has opened applications for an LLM Research Intern role. The position is remote within India and suits students and early-career researchers who want hands-on experience with Large Language Models (LLMs). It is paid and runs for six months. This guide covers the role, the eligibility requirements, how to shape your resume, and what to expect from the process. Details are based on the LinkedIn listing, so please confirm current information on the official posting before applying.

1) Job Summary

Detail	Information
Company	Sony Research India
Role	LLM Research Intern
Location	Remote (within India); company based in Bengaluru, Karnataka
Type	Paid internship
Duration	Six months
Schedule	Monday to Friday, 9:00 to 18:00
Start	First week of November 2026, per the listing
Application mode	LinkedIn Easy Apply

2) Job Description

The intern will work closely with research scientists on deep research and rapid prototyping with LLMs. The focus is multilingual and entertainment-domain applications. The role is research-intensive: the company wants someone curious about why models behave as they do, not only someone who runs standard fine-tuning pipelines.

Key responsibilities include:

Researching multilingual language understanding and generation, cross-lingual transfer, language interference, model behaviour, and multilingual reasoning, particularly across Indian and international languages.
Exploring domain adaptation for entertainment content such as subtitles, dialogues, scripts, and conversational language.
Studying reasoning and adaptive computation for translation, including when and how additional reasoning should be used.
Where relevant, exploring learning-based approaches such as reinforcement learning, preference optimization, and bandits to improve LLM and neural machine translation behaviour.
Rapidly prototyping with modern LLM and NMT frameworks and evaluating results on research benchmarks and real-world entertainment data.
Collaborating with scientists on hypotheses, implementation, and contributions to research papers, patents, and internal prototypes.
Fine-tuning LLMs using techniques such as LoRA, QLoRA, and instruction tuning.

3) Eligibility Criteria

Education: A Ph.D. or Master’s in Computer Science or a related background, or a Bachelor’s degree with hands-on experience using Python in fine-tuning LLMs for language processing applications.

Must-have skills:

Excellent coding skills, especially in Python and PyTorch
Hands-on experience fine-tuning LLMs (LoRA/QLoRA, PEFT, instruction tuning)
Self-driven project experience in Deep Learning
In-depth knowledge of state-of-the-art LLMs and foundation models

Preferred skills:

Strong mathematical aptitude
Papers at top-tier conferences such as ICML, NeurIPS, ICLR, AAAI, and ACL

Who Should Apply?

Graduate students or researchers with real fine-tuning experience, not just coursework
Candidates interested in multilingual NLP, particularly Indian languages
People who enjoy asking why models behave as they do and designing experiments to find out
Applicants available for a full-time, six-month commitment on a fixed schedule
Those with project work, publications, or open-source contributions in deep learning

Who May Not Be a Good Fit?

Candidates with no hands-on experience fine-tuning language models
Those who want only to integrate existing tools or APIs, since the role stresses original research
Applicants unable to work full-time hours (9:00 to 18:00) for six months
Candidates who are not based in India, since the work location is remote within India

4) What Should Be Highlighted in the Resume?

Since this is a research role, make your resume evidence-driven:

Fine-tuning projects: Name the models, methods (LoRA, QLoRA, PEFT, instruction tuning), datasets, and measurable results.
Technical stack: Place Python and PyTorch prominently, along with relevant NLP and deep learning libraries.
Multilingual experience: Mention work involving Indian languages, translation, or cross-lingual tasks.
Publications and patents: List conference papers, preprints, or workshop contributions, especially from venues named in the posting.
Research depth: Describe a hypothesis you tested, how you evaluated it, and what you learned.
Learning-based methods: Note any exposure to reinforcement learning or preference optimization.
Links: Add GitHub, Google Scholar, or a portfolio so reviewers can verify your work.

Keep it to one page where possible and use clear, results-oriented bullet points.

5) What Candidates Should Expect During the Recruitment Process

The listing does not describe the selection stages, so the following is a general expectation for research internships rather than confirmed company policy:

Application review: Your resume and profile are screened against the listed skills.
Technical discussion: Expect questions on LLM fundamentals, fine-tuning methods, and your past projects.
Research conversation: You may be asked to explain a paper or project and discuss how you would approach an open problem.
Possible coding or problem-solving assessment in Python or PyTorch.
Final discussion covering availability, expectations, and logistics.

Apply through LinkedIn and watch your email and LinkedIn messages for updates. The listing notes that response insights were not yet available.

6) About the Company

Sony Research India Private Limited was established in July 2020 as part of Sony’s global R&D centres. According to its LinkedIn page, it works in research services and is committed to advancing technology in areas such as AI and data analytics. It aims to create a technology talent bank and drive research excellence worldwide. Its work spans entertainment, healthcare, music, and gaming.

7) Why Join This Company?

Research-focused work: The role centres on understanding model behaviour, not only applying existing tools.
Real-world relevance: You work with entertainment-domain language data such as subtitles and scripts.
Publication opportunities: The listing mentions contributions to research papers and patents.
Mentorship: You work directly with research scientists.
Flexibility: Remote work within India widens access beyond a single city.
Paid experience: It is a paid internship backed by a globally recognised brand.

8) Frequently Asked Questions (FAQ)

Is this internship paid?
Yes, the listing describes it as a paid internship. The stipend amount is not stated.

Can I work from anywhere in India?
The work location is listed as remote within India.

How long is the internship?
Six months, Monday to Friday, 9:00 to 18:00.

Do I need a PhD?
No. A Master’s is accepted, and a Bachelor’s degree qualifies if you have hands-on experience fine-tuning LLMs.

Are publications mandatory?
No. Papers at conferences like ICML, NeurIPS, ICLR, AAAI, and ACL are listed as preferred, not required.

How do I apply?
Use the Easy Apply option on the LinkedIn listing.

Disclaimer: This article is for informational purposes only and is not an official company communication. Always verify details and apply only through official channels. Never pay any fee to secure a job or internship.

How to Apply?

Interested candidates meeting the eligibility criteria have to apply at the following link: