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HackerOne logo — HackerOne Machine Learning Research Intern in GIFT City, Gandhinagar, Gujarat
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Machine Learning Research Intern

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Location

GIFT City, Gandhinagar, Gujarat

Work Mode

Hybrid

Duration

3 months

Stipend

₹33,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹33,000/moApply on Company Website ↗

About the Internship

Join HackerOne in GIFT City, Gandhinagar as a Machine Learning Research Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on machine learning research work. About the role As a Machine Learning Research…

About HackerOne

HackerOne offers a mentor-led Machine Learning Research Intern in GIFT City, Gandhinagar with live project work in machine learning, a stipend of ₹33,000/month and a Pre-Placement Offer opportunity for strong performers.
GIFT City, Gandhinagar, GujaratVerified employer9 openings
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Skills Required

Research MethodologyPyTorchPythonDeep LearningExperiment DesignStatistical AnalysisLiterature ReviewBenchmarkingTechnical WritingReproducibility

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/AI-ML), M.Tech, M.Sc (CS / Mathematics / Statistics) or PhD-track who are based in or willing to work from GIFT City, Gandhinagar. You should be keen to learn Research Methodology, PyTorch, Python on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3HR discussion — stipend, start date, expectations and offer
33,000/month

Stipend · 3 months

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Openings9 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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