LLM Research Intern

Carrerlift; India; Remote; INR 1,339,000 - 2,009,000; Full time

Job summary

Carrerlift is seeking a research-focused professional to advance multilingual LLM behavior, translation, and domain adaptation. You will work remotely within India, researching languages, cross-language transfer, and contextual reasoning for translation across dialogue and entertainment content.

The role involves prototyping with LLM/NMT frameworks, interpreting experimental results, and contributing to papers and internal prototypes.

Qualifications

• PhD or master’s in CS with strong research in language models.
• Bachelor’s with Python-based LLM processing experience acceptable.
• Proficient in Python and PyTorch; PEFT and fine-tuning experience required.
• Strong mathematical background; publications preferred (ICML/NeurIPS/ACL).

Responsibilities

• Develop research methods and analyze models in multilingual LLMs.
• Prototype with LLM/NMT frameworks and evaluate on benchmarks.
• Form hypotheses, run experiments, interpret results, and contribute papers/patents.

Skills

Python

PyTorch

PEFT

Fine-tuning

Foundation models

Research publications

Education

PhD in Computer Science or related field

Master’s in CS with LLM experience

Bachelor’s with Python LLM experience

Tools

LoRA

QLoRA

Instruction tuning

Job description

About the opportunity:

• Join scientists researching multilingual LLM behaviour, translation, reasoning and entertainment-domain adaptation.
• Sony's global research develops technology supporting electronics, entertainment and finance.

Research activities:

• Investigate Indian and international languages, cross-language transfer, language interference, understanding and generation.
• Adapt models for subtitles, dialogue, scripts and conversational material.
• Study contextual reasoning and adaptive computation in translation.
• Explore reinforcement learning, preference optimisation, bandits and related approaches when useful.
• Prototype with LLM/NMT frameworks and evaluate against benchmarks and entertainment datasets.
• Form hypotheses, implement experiments, interpret results, and contribute papers, patents and internal prototypes.
• Apply LoRA, QLoRA and instruction tuning.

Required background:

• Have PhD/master's-level computing education, or a bachelor's qualification with practical Python-based LLM language-processing experience.
• Bring strong Python/PyTorch programming, PEFT and fine-tuning experience, independent deep-learning projects and current foundation-model knowledge.
• Mathematical strength and publications at ICML, NeurIPS, ICLR, AAAI or ACL are preferred.

Practical details:

• The focus is developing research methods and understanding models, rather than primarily integrating existing models.
• Work remotely within India for six paid months, starting in November 2026's first week.
• Hours are 9:00–18:00, Monday–Friday; payment amount is undisclosed.
• Curiosity, diversity, integrity, sustainability and equal opportunity guide the organisation.