Imagen
Deep Learning Algorithm Intern

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Algorithm Intern
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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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


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- 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).
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