Artificial Intelligence Intern

Samsung Electronics

Cambridge

1 month ago

Applications closed

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Product Owner - Artificial Intelligence

Location: Cambridge, UK (Hybrid: 3 days on-site, 2 days working home)

Start Date: ASAP

Duration: 6 months

About Us

Join Samsung AI Centre (SAIC) Cambridge, a world‑class cross‑disciplinary research hub where innovation meets impact. We're at the forefront of AI research, driving breakthroughs in foundational models, machine learning, and AI applications. Our team collaborates globally to publish in top conferences, file patents, and share reproducible code with the AI community.

The Role

We're seeking exceptional PhD students (or recent graduates) to join our dynamic team for a 6-month internship. You'll work alongside leading researchers and engineers, contributing to cutting‑edge projects that push the boundaries of AI.

Key Responsibilities

Conduct groundbreaking research to solve real‑world AI challenges or propose novel research directions.
Publish in top‑tier conferences/journals (e.g., NeurIPS, ICML, ICLR, CVPR).
Develop high‑quality, well‑documented code to support reproducible research.
Collaborate with senior mentors to refine your skills and generate impactful outcomes.

What We're Looking For
Essential Qualifications

Currently pursuing a PhD (or recently completed) in Computer Science, Engineering, Mathematics, or a related field.
Strong foundation in computing concepts (algorithms, data structures, optimization, etc.).
Proficiency in Python and PyTorch for rapid prototyping.
At least one first‑author publication in top‑tier conferences/journals.
Experience with Foundation Models (e.g., visual LLMs, Diffusion models).
Professional software engineering experience.
Expertise in distributed GPU or on‑device ML implementations.
Familiarity with SAIC Cambridge's research areas (see below).

Research Areas

You’ll be affiliated with one of our three labs:

Embedded AI Lab: World models, efficient architectures, speech/image generation.
Machine Learning/Data Intelligence Lab: Planning & reasoning, inverse graphics, meta‑learning.

Why Join Us?

Work in a collaborative, world‑class research environment.
Publish in top conferences and contribute to commercial tech transfers.
Share your work with the global AI community via GitHub.
Gain mentorship from leading experts in the field.

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