Machine Learning (native Intelligence) - London

microTECH Global Ltd; United Kingdom; On-site; GBP 70,000 - 100,000; Full time

Job summary

A technology company in the United Kingdom is seeking an expert in artificial intelligence technologies to drive advancements in AI-native operating systems. The ideal candidate will have a PhD and considerable experience in the field, focusing on areas such as integration of large language models and system architecture. This role emphasizes research and the application of innovative solutions in AI, addressing both industry's challenges and opportunities.

Qualifications

• Expertise in AI technologies, including LLM integration with OS.
• Experience in applying intelligent technology at the system level.
• In-depth academic research capabilities in artificial intelligence.

Responsibilities

• Analyze industry-leading products and formulate AI-native OS plan.
• Identify technological innovation opportunities and challenges.

Skills

Operating system architecture

Artificial intelligence research

Natural language processing

Computer vision

Decision-making reasoning

Education

PhD in computer science or related field

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:

-PhD in 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.