Ema

AI Research Intern

InternshipHybridMangalore, Karnataka2 months41K/mo1 openingImmediate / Rolling

About this internship

Ema is hiring an AI Research Intern in Mangalore — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to AI research and algorithm design rather than a certificate-only programme. About the role As an AI Research Intern at Ema, your core focus will be…

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Skills you'll use

Algorithm DesignDeep LearningPyTorchAI EthicsAcademic Writing & PublishingLiterature ReviewExperiment DesignPythonMathematics for MLReproducible Research

What you'll do

Work on running structured experiments against open research problems alongside the core team
Apply Algorithm Design, Deep Learning, PyTorch, AI Ethics to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech, M.Tech, M.Sc (CS / Mathematics) or Ph.D. scholars — 2026 freshers & final-year students welcome
Working knowledge of Algorithm Design, Deep Learning, PyTorch (or a genuine willingness to learn them)
Strong fundamentals in your discipline and clear problem-solving ability
Care with detail and the discipline to document your work
Clear written and verbal communication in English
Based in or willing to work from Mangalore, Karnataka

Perks & benefits

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & selection process

2 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Practical assignment or case study with a short walkthrough

About Ema

Ema operates in the enterprise ai sector and has an active presence in Mangalore. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The work…

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