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Research Fellow

India, Karnataka, Bangalore💼 Full-time🗓 2026-07-07 → 2026-07-08

Core

Developing core algorithms in ML/optimization/cryptography, large-scale retrieval models, reliable reasoning with large language models, increasing the inclusivity of large language models, and designing and building infrastructure for AI training and inference workloads.

Role type

Research Fellow (AI/ML)

Builds

Academic, industry, and societal impact through research and infrastructure

Domain

Artificial Intelligence, Machine Learning, Cryptography

Deliverable

production ML models | infrastructure | research

Required skills

algorithm development, optimization, cryptography, large-scale retrieval model design, large language model reasoning, LLM inclusivity, AI training infrastructure, inference workload design

Preferred skills

academic performance, raw smarts, development skills, passion for research and software development

Technologies

ML frameworks, optimization libraries, cryptography tools, LLM frameworks, infrastructure tools

Responsibilities

Develop core algorithms in ML/optimization/cryptography; Build large-scale retrieval models; Design reliable reasoning systems for large language models; Increase inclusivity of large language models; Design and build infrastructure for AI training and inference workloads

Seniority

Mid-level Research Fellow

Rewrite
## About the role RFs spend 1 to 2 years at MSR India. Different projects require a different combination of skills. Current RFs work on developing core algorithms in ML/optimization/cryptography, large-scale retrieval models, reliable reasoning with large language models, increasing the inclusivity of large language models, and designing and building infrastructure for AI training as well as inference workloads. Regardless, they all consistently aim to create academic, industry, and societal impact. ## Requirements * Candidates should have completed their Bachelor's (BE/BTech/BS) or Master's degree (ME/MTech/MS) in Computer Science (or related areas). * We evaluate candidates on a combination of factors including academic performance, raw smarts, development skills, and passion for research and software development. ## Application process This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
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