Machine Learning (Native Intelligence) - London

microTECH Global Limited; London; On-site; GBP 70,000 - 110,000; Full time

Job summary

A leading technology firm is seeking to hire an AI expert in London. The role involves working on cutting-edge technologies related to terminal intelligence, with a focus on integrating LLM with operating systems and contributing to the development of AI-native solutions. Candidates should have a PhD in a relevant field and strong expertise in AI research and system architecture. This position offers competitive compensation based on experience and qualifications.

Qualifications

• Deep understanding of operating system architecture.
• In-depth knowledge in AI fields including NLP and computer vision.
• Experience in applying intelligent technology at the system level.

Responsibilities

• Focus on technologies related to terminal intelligence.
• Formulate AI-native OS plan to promote its implementation.
• Identify technological innovation opportunities and challenges.

Skills

AI Research Expertise

System Architecture Knowledge

Industry Technical Resource Acquisition

Academic Research Capabilities

Education

PhD in Computer Science or related fields

Job description

We are seeking to hire expert who focus on technologies related to terminal intelligence, including but not limited to the integration of LLM with OS, Agent architecture, user profiling, edge-cloud collaboration, foundational models for general artificial intelligence, multimodal large models, as well as model compression and optimization.

Required:

• Familiar with operating system architecture, have a clear understanding and knowledge of the underlying system architecture, and have experience in applying intelligent technology at the system level. Deeply observe and analyse the intelligent direction of industry-leading products and formulate years AI-native OS plan to promote the landing of AI-native OS.
• Have in-depth academic research capabilities and achievements in the field of artificial intelligence (including natural language processing, computer vision, and decision-making reasoning).

• Have a certain influence in the field of AI research, be able to quickly obtain industry technical resources, and transform them into internal competitiveness. Understand the commercial value behind the mainstream technology routes in the industry and their impact on the company's AI research strategy. Identify the company's technological innovation opportunities and challenges.

  Desired:

  • PhDin computer science, software engineering, communication, electronics, etc., have an in-depth understanding of the AI field, large models, etc.
  • Candidates with AI field-related TOP conference papers are preferred.
  • AI product landing experience.
  • Familiar with one of the mainstream mobile systems, understand the architecture and software framework of device system software, and understand AI hardware acceleration.