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Deep Learning Researcher

MicroTECH Global Ltd
Posted 5 days ago, valid for 10 days
Location

Cambridge, Cambridgeshire CB2 8AG, England

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • MicroTECH-Global is seeking a motivated Deep Learning Researcher to join a leading team in advanced computing focused on AI applications in semiconductor design.
  • Candidates should have a PhD or equivalent experience in machine learning, AI, computer science, physics, or mathematics, along with a strong publication record in top conferences.
  • The role involves conducting AI/ML research, designing algorithms for chip optimization, and collaborating with engineering teams on real-world applications.
  • Proficiency in Python, C++, and deep learning frameworks like PyTorch or TensorFlow is required, and experience in large language models or reinforcement learning is preferred.
  • The position offers a competitive salary, and candidates are expected to have a strong background with a minimum of 3 years of relevant experience.

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 researchDesign 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 designFamiliarity with JAX and optimization frameworks

Why Join Us:

Work on impactful AI research with real-world applicationsCollaborate with top researchers in a global teamFlexible hybrid work environmentOpportunities to publish, innovate, and grow professionally

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.