Principal Staff Research Scientist - NLG Reasoning
Principal Staff Research Scientist - NLG Reasoning
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Job Description
Job Description
Are you interested in joining one of Europes most innovative (and ambitious) Deep Tech Product companies
Youll join as Principal/Staff 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 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 and more traditional approaches such as neural networks such as GNNs and ML / Reinforcement learning.
Your role as a Principal / Staff Research Scientist will be to drive the research direction breakthroughs in research unique new approaches solve various challenges and inspire the team to do the same. Youll be designing & building architectures that can scale on extremely large amounts of data for the two main components of their system.
Your work will bring the best of Deep Learning Machine Learning and Symbolic models to solve one of the biggest challenges in Natural Language Generation.
Youll have the freedom to innovate and experiment with various approaches combining the SOTA and traditional approaches. Youll be a product visionary and youll see your research be applied to this product
Youll need a strong background in Natural Language with recent experience in Natural Language Generation (NLG) and LLMs at scale including finetuning and/or pretraining. If youve built AI systems using GNNs Reinforcement learning or have a background in Symbolic AI youre someone wed love to consider.
As this is Principal or Staff level were ideally looking for at least 510 years in the industry if you have a PhD with relevant research wed consider fewer years in industry roles. This seniority is important as youll be inspiring and coaching some of the team. Whilst your immediate impact will be as an IC there is potential opportunities to leadership if you wish to take that route or you can continue to excel as an IC here too!
Research publications or patents are expected especially those of relevance to Natural language. This company plans to publish papers and youll play a key part in this.
Desirable experience includes Knowledge graphs Graph ML GNNs or developed foundational models from scratch.
Your team is made up of great minds from various wellknown 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 AIs in the world. This is a fastmoving startup so it would be beneficial if youve worked for startups (or a startupstyle environment prior).
The culture here is exceptional if you value trust and collaboration and are a great communicator and innovator at heart youll fit right in.
Youll be financially remunerated with a base salary between $190000 $260000 (negotiable). As part of your package youll receive stock options 25 days of vacation (plus public holidays) pension and more.
Whilst remote is considered for industryleading 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.
For transparency the interview process is as follows:
1 Intro call with the recruiter (Marc Powell at techire ai).
2 Technical discussion.
3 Mixed interview session and meeting the team topics on research (some prior prep required youll discuss a research paper during the interview) coding and values.
4 Meeting with the Founder.
We aim to complete the interview process within a few weeks we can move faster if you have availability.
Click apply today or contact Marc Powell at techire ai for immediate consideration. All candidates will get a response.
Required Experience:
Staff IC
Employment Type
Full-Time
