Deep Learning Researcher

JR United Kingdom; City of Edinburgh; On-site; GBP 45,000 - 75,000; Full time

Job summary

A global leader in advanced computing seeks a motivated Deep Learning Researcher to engage in innovative AI projects. The role involves conducting groundbreaking AI/ML research, designing algorithms, and collaborating with engineering teams to enhance chip design and AI integration. Ideal candidates possess a PhD and expertise in Python and deep learning frameworks. Join us to influence the future of semiconductor design and optimization.

Qualifications

• Strong background in ML, AI, or related fields.
• Experience in LLMs, reinforcement learning, or chip design preferred.

Responsibilities

• Conduct and publish cutting-edge AI/ML research.
• Design algorithms for chip optimization and intelligent systems.
• Collaborate with engineering teams to integrate AI into real-world tools.

Skills

Python

C++

Deep Learning

Machine Learning

Education

PhD or equivalent in ML, AI, CS, physics, or mathematics

Tools

PyTorch

TensorFlow

JAX

Job description

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About Us: MicroTECH-Global are working with a global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization.

Role Overview: We're seeking a motivated Deep Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration.

Responsibilities:

• Conduct and publish cutting-edge AI/ML research

• Design algorithms for chip optimization and intelligent systems

• Collaborate with engineering teams to integrate AI into real-world tools

• Stay current on AI trends and contribute to open research

Requirements:

• PhD or equivalent experience in ML, AI, CS, physics, or mathematics

• Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow)

• Solid grasp of ML techniques; independent and team-oriented mindset

Preferred:

• Experience in LLMs, reinforcement learning, or chip design

• Familiarity with JAX and optimization frameworks