Applied Scientist I (AI)

TL;DR

Applied Scientist I (AI): Designing and training machine learning solutions for digital identity verification with an accent on deepfake detection, bias mitigation, and document understanding. Focus on building fair, high-performance ML models and deploying them to a global customer base.

Location: Must be based in London, UK (Hybrid: 3 days per week in office)

Company

hirify.global is a global leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies.

What you will do

• Push the frontier of research in deepfake detection, bias mitigation, and fraud/anomaly detection.
• Train and benchmark large-scale vision-language models for document extraction.
• Collaborate with product and engineering teams to improve identity-focused products.
• Profile, debug, and optimize model training speed on multiple GPUs.
• Publish research results in national and international conferences and journals.

Requirements

• Strong experience in machine learning and computer vision.
• Strong coding skills in Python and PyTorch.
• Deep understanding of machine learning theory.
• Proven record of successfully delivering high-performance ML-driven products.
• Must be able to work from the London office 3 days per week.

Nice to have

• Technical experience in face matching, anomaly detection, or on-device ML.
• Experience optimizing distributed training code.
• Publications at top-level machine learning conferences.

Culture & Benefits

• Commitment to professional growth with learning-forward initiatives.
• Flexible work options to support work-life balance.
• Inclusive culture with global affinity groups and unconscious bias training.
• Collaborative environment focused on innovation and security.