Deep Learning Researcher

microTECH Global Limited; Cambridge; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A leading company in advanced computing seeks a motivated Deep Learning Researcher to contribute to innovative AI projects. The role involves conducting cutting-edge research, designing algorithms for chip optimization, and collaborating with engineering teams. Ideal candidates will have a PhD or equivalent experience in ML, AI, or related fields and a strong publication record. Join a flexible hybrid work environment and work on impactful AI research with real-world applications.

Benefits

Flexible hybrid work environment

Opportunities to publish and innovate

Professional growth

Qualifications

• Strong publication record in AI/ML conferences.
• Solid grasp of ML techniques; independent and team-oriented mindset.

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

Machine Learning

Artificial Intelligence

Python

C++

Education

PhD or equivalent experience

Tools

PyTorch

TensorFlow

Job description

Deep Learning Researcher

Cambridge / London

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
• Strong publication record (NeurIPS, ICML, ICLR, etc.)
• 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

Why Join Us:

• Work on impactful AI research with real-world applications
• Collaborate with top researchers in a global team
• Flexible hybrid work environment
• Opportunities to publish, innovate, and grow professionally

If interested please apply below or send your CV to [e-mail]