Member Of Technical Staff, Data Research Engineer (AI)

TL;DR

Data Research Engineer (AI): Building high-quality datasets for training and evaluation of frontier AI models, focusing on multimodal data ingestion, pre-processing, and analysis. Focus on improving dataset quality, understanding data-driven model behaviours, and aligning datasets with ethical and societal values.

Location: London, United Kingdom

Company

hirify.global’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

• Create high-quality datasets for training and evaluation; run experiments on new datasets to assess their impact and determine the most effective data.
• Develop and maintain scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation.
• Analyse real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement.
• Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
• Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.

Requirements

• Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience.
• Experience in data analysis or data engineering.
• Proficiency in statistics and exploratory data analysis methods.
• Ability to communicate technical findings effectively to research and product teams.

Nice to have

• Master’s Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.).
• Familiarity with data processing frameworks such as Spark, Ray, Apache Beam
• Experience working with large-scale, real-world datasets that are unstructured or semi-structured

Culture & Benefits

• Employees come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
• Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.