Deep Learning Researcher

Extended Family International; Cambridge; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading company in advanced computing seeks a motivated Deep Learning Researcher. You'll work on impactful AI projects focusing on large language models, optimization, and integration with real-world systems. Join a global team of top researchers in a flexible hybrid environment where innovation and professional growth are encouraged.

Benefits

Flexible hybrid work environment

Opportunities to publish and innovate

Professional growth

Qualifications

• Strong publication record in top conferences like NeurIPS, ICML, ICLR.
• Solid grasp of ML techniques, good collaboration skills.

Responsibilities

• Conduct AI/ML research and publish findings.
• Design algorithms for chip optimization and integrate AI into tools.

Skills

Machine Learning

Artificial Intelligence

Python

C++

Deep Learning

Reinforcement Learning

Education

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

Tools

PyTorch

TensorFlow

Job description

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