Job Description

Are you interested in tackling key challenges in large (NLG) foundation models with a neuro-symbolic approach?

You’ll join as Senior Research Scientist, with a strong team taking a different approach to developing scalable, accurate and reliable AI.

Presently many companies developing large language generation models have developed solutions using only a transformer-based approach, which can solve challenges quickly but are mostly generic models, often sacrificing accuracy, creating hallucinations, bias and lacking trustworthiness.

This company is looking to change that. They are combining the latest advances in Deep Learning approaches, Transformers/LLMs with knowledge & graph based approaches and ML / Reinforcement learning.

Your role as a Senior Research Scientist will be to work on research in neuro-symbolic AI, knowledge and reasoning. You'll work closely with other researchers to drive breakthroughs in research, applying unique new approaches, solve various challenges and inspire the team to do the same. You’ll be designing & building architectures that can scale on extremely large amounts of data for the two main components of their system.

As the tech is still not super mature, you’ll have the freedom to innovate and experiment, making a true impact on the future of this product.

You’ll need a strong background in either Natural Language, with recent experience in Natural Language Generation (NLG) and LLMs at scale, including fine-tuning and/or pre-training. Or you'll have a background in reasoning (ideally symbolic reasoning). If you’ve built AI systems using GNNs and reinforcement learning or have a background in neuro-symbolic AI, you’re someone we’d love to consider.

As this is Senior level we're looking for circa 5 years in the industry, however, if you have a PhD with relevant research, we’d consider fewer years in industry roles. Research publications or patents are expected, especially those of relevance in Neuro-symbolic ai, reasoning, natural language generation or knowledge-based approaches. This company plans to start publishing papers in the future. 

You'll be in good hands as your team is made up of great minds from various well-known companies developing AI systems – applied scientists, research engineers and software engineers. The founder was the creator of the technology behind one of the most widely used conversational AI’s in the world. This is a fast-moving start-up, so it would be beneficial if you’ve worked for start-ups (or a start-up-style environment prior).

The culture here is exceptional, if you value trust, and collaboration, and are a great communicator and innovator at heart, you’ll fit right in. 

You’ll be financially remunerated with a base salary between £90,000-£120,000 (negotiable, dependent on experience). As part of your package, you’ll receive stock options, 25 days of vacation (plus public holidays), pension and more.

Whilst remote is considered for industry-leading candidates, the preference is for someone to be based out of their central London office at least 1 day per week. Visa sponsorship and relocation support can be provided if you are planning to relocate.

Apply today, or contact Marc Powell at techire ai, for immediate consideration. All candidates will get a response.