Lead Applied Scientist – Computer Vision

Position Overview

Applied Scientist Lead – Computer Vision. Lead a team of six applied scientists focused on vision‑language models for data extraction and efficient models that run on mobile devices, while contributing 50% of the time with hands‑on code.

Responsibilities

• Define the team’s roadmap together with product and engineering leads.
• Stay up-to‑date on the vision‑language modelling and efficient ML literature, and translate these insights into product opportunities.
• Manage a team of six applied scientists.
• Contribute to the regular development lifecycle by creating datasets and developing model training and evaluation code.
• Push the frontier of research in areas such as vision‑language modelling, document understanding, few‑shot learning, distillation, quantisation, and active learning.
• Publish research results in national and international conferences and scientific journals.

Qualifications

• Have 2+ years of experience leading a team of ML scientists or research engineers.
• Have 5+ years of industry experience as an individual contributor in a machine learning science team, either as an ML scientist or research engineer.
• Have strong experience in machine learning and computer vision.
• Have a strong record of successfully delivering high‑performance ML‑driven products.
• Have a deep understanding of machine learning theory.
• Have strong coding skills in Python and PyTorch.

Preferred Qualifications

• Technical experience in one or more of the following areas: document understanding, vision‑language modelling, few‑shot learning, distillation, quantisation, and active learning.
• Published at top‑level machine learning conferences.
• Experience optimizing (distributed) training code.

Location

London, UK or Paris, France (Hybrid – 3 days in office)

EEO Statement

Entrust is an EEO/AA/Disabled/Veterans Employer.

Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.

If you require an accommodation, contact accessibility@entrust.com.

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