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Deep Learning Algorithm Intern

Imagen · Giv'atayim, Tel Aviv District, Israel · Hybrid

100100

Hiring signal

Actively hiring

Posted 3 days ago · still listed on the employer's own board · How we score

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In its favour

  • Posted 3 days ago
  • Still listed on the employer's own board

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Deep Learning Algorithm Intern at Imagen. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Description

Imagen is looking for a highly motivated Algorithm Intern to join our cutting-edge AI team. This is a unique opportunity to work on real-world deep learning challenges, contribute to production-level systems, and collaborate with top-tier engineers and researchers.

This is a full-time, 3-month internship, with the potential to transition into a full-time Algorithm Engineer position upon successful completion.

Why Join Us?

  • Work on cutting-edge AI technology used by real users
  • Learn fast and gain real production experience
  • Be part of a collaborative, high-impact team
  • Opportunity to convert to a full-time role

Responsibilities

  • Design, implement, and improve deep learning models.
  • Work on real-world AI problems using large-scale data.
  • Collaborate closely with experienced engineers and researchers.
  • Run experiments, analyze results, and optimize model performance.
  • Take ownership of projects and drive them forward independently.
  • Stay up to date with the latest trends in AI and deep learning.

Requirements

  • B.Sc. with honors from a leading university and Currently pursuing (or recently completed) an M.Sc. with a thesis.
  • At least 6 months of hands-on Deep Learning experience (academic projects, thesis work, independent projects, or student roles).
  • Background in working on research or data-driven projects.
  • Strong drive, curiosity, and ability to deliver results.
  • Solid programming skills (Python is a Must).
  • Experience with DL frameworks (PyTorch / TensorFlow).
  • Experience in Computer Vision (Advantage).

Skills

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