microTECH Global LTD
Machine Learning Researcher

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About the Role
As a Research Scientist you will:
- Research and development of world models that enable AI agents to understand, simulate, and reason about complex environments.
- Design and run experiments at the frontier of model-based learning, contributing to foundational research that shapes how AI agents perceive and interact with the world.
- Contribute to research and commercialization efforts in areas including on-device LLM and VLMs, adaptive inference methods, and mobile ML systems.
- Conduct cutting-edge research within the existing group's agenda as well as contribute towards shaping it.
- Collaborate closely with cross-functional product teams, as well as on-site research teams, to integrate ML solutions into consumer devices.
- At the core of our efforts is innovation, as you will design groundbreaking machine learning algorithms and systems that extend the capabilities of current technology.
- You will translate research findings into practical applications, contributing to the commercialization of AI technologies across millions of Samsung devices.
- Additionally, you will prepare comprehensive documentation, research papers, and contribute towards patent applications.
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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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.
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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.
Skills and Qualifications
Education and experience:
- PhD in CS/EE or related research experience in academia or industry
- We will consider various levels of experience in relevant research areas
Key Skills:
- Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.)
- Experience with deployment on embedded/mobile devices (such as smartphones, with mobile CPU, GPU, NPU)
- Experience with distributed and multi-GPU training at scale
- Fluency in Python, C/C++ and GNU Linux
- Proficiency in code version control, Git and GitHub
- Experience in working as a member of a team
- Solid publication record of papers in top-tier venues, such as NeurIPS/ICLR/ICML/MobiCom/MobiSys/ICCAD/MLSys


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Additional Skills (positively considered):
- Experience in real-world mobile system deployment
- Research experience in efficient Generative AI, including language, visual or multimodal tasks. This includes different aspects of the pipeline, from data and preprocessing to large model adaptation, fine-tuning and on-device optimization.
- Android operating system and Android app development
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