Responsibilities

• Provide scientific depth in a data science team including ML and NLP scientists and linguists.
• Design new ML tasks from raw data through new ML methods to finalized products that will be used by our customers.
• Drive innovation on tasks that are in a specialized domain and do not conform to standard NLP tasks.
• Think creatively and innovatively to produce effective models and complete ML pipelines.
• Work on problems such as:
  • Automated flagging of cases where model predictions might be incorrect.
  • Building more efficient data annotation strategies to fine-tune an LLM.

Requirements

• MSc with sufficient research experience (industry or academia) or PhD in a relevant subject.
• Extensive background in using and developing deep learning methods.
• Substantial understanding of deep learning methods and breadth of knowledge of different models and their potential applications. Knowledge of LLMs is a must-have.
• Interest in text and language tasks.
• Experience with designing and orchestrating ML experiments at scale, e.g., training with multiple GPUs.

Nice to Have

• 1+ years of industry experience in deep learning.
• Knowledge of foreign languages.
• Experience with UNIX and cloud computing.

You

• Have good communication and collaboration skills.
• Have good analytical and organizational skills.
• Cooperate well with other professionals of different backgrounds.
• See the inherent value in a respectful and diverse workplace.

Benefits

• Highly skilled team, flat hierarchy, and opportunities for mentorship.
• Ability to heavily influence platform and culture from an early phase.
• Flexible working, central London location, company share option scheme.
• Budget/time for books, training, and attending conferences/hackathons.