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Deep Learning Researcher

microTECH Global Ltd

Cambridge

Hybrid

GBP 50,000 - 80,000

Full time

Yesterday
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Job summary

A leading company in advanced computing seeks a Deep Learning Researcher to contribute to innovative AI projects, including large language models and chip design optimization. This role offers a flexible hybrid work environment and collaboration with top researchers in the field.

Benefits

Flexible hybrid work environment
Opportunities to publish and innovate
Professional growth opportunities

Qualifications

  • Strong publication record in AI/ML conferences (NeurIPS, ICML, ICLR).
  • 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++
Deep Learning

Education

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

Tools

PyTorch
TensorFlow
JAX

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 #

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