MICROTECH GLOBAL LTD
Principal ML Researcher

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Principal ML Researcher
Principal Researcher
As a Principal Researcher, you are expected to shape the strategic vision of our research initiatives and drive transformative breakthroughs in AI. This role is suited for individuals who excel at influencing organizational research priorities, overseeing multiple projects, and representing the team in high-level external partnerships. Principal Researchers are leaders who mentor senior staff, set policy, and ensure our research has a lasting impact on both the company and the broader scientific community.
Our team operates in two main directions:
- Applying AI to the design and optimization of semiconductors
- Conducting fundamental research that supports both our applications and the broader scientific community
Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models.
Key Responsibilities
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.
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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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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
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- Shape and communicate the strategic vision for research across the organization
- Oversee multiple high-impact research projects and ensure alignment with organizational goals
- Drive breakthroughs in machine learning and artificial intelligence through innovative research
- Mentor and provide leadership to senior researchers and research teams
- Represent the team in external partnerships, collaborations, and policy discussions
- Influence organizational research priorities and contribute to policy development
- Build and maintain relationships with key stakeholders, including academic, industry, and funding partners
- Publish and present research findings at top-tier conferences, journals, and industry forums
- Stay at the forefront of advancements in AI and related fields, identifying new opportunities for impact
Qualifications & Expectations
Required:
- PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field; or equivalent research experience
- Distinguished publication record in top conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL)
- Demonstrated ability to shape research strategy and oversee multiple projects
- Proven track record of driving breakthroughs and influencing research priorities
- Advanced proficiency in programming languages such as Python, C++, or similar
- Exceptional leadership, mentorship, and communication skills
- Experience representing research teams in external partnerships and policy forums


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Preferred:
- Deep expertise in optimization, reinforcement learning, and/or large language models (LLMs)
- Experience in chip design and applied AI research
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
- Experience influencing organizational policy and securing major research funding
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