Entrust
Applied Scientist II - Computer Vision
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Applied Scientist II - Computer Vision
Join us at Entrust
At Entrust, we’re shaping the future of identity-centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely safely.
Get to Know Us
Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future.
About the Team
You'll be joining the team leading Entrust’s Identity portfolio (previously Onfido), an AI-powered digital identity solution. Our technology helps businesses verify real identities using machine learning, enabling secure remote customer onboarding.
By assessing government-issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with assurance needed to operate securely while allowing people to access services quickly and safely.
Our Applied Scientist team is made up of about 20 machine learning scientists and is supported by an ML Ops team that provides:
- Advanced tooling (including AWS, Encord, Ray, PyTorch Lightning, and Weights & Biases)
- Cutting-edge research support
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The Applied Science team works closely with product engineering to deploy models and serve our worldwide customer base.
Position Overview
We are looking for an Applied Scientist II to design and train cutting-edge machine learning models related to digital identities. The role offers opportunities to tackle problems in deepfake detection, bias mitigation, document understanding, anomaly detection, and efficient ML.
Key Responsibilities:
- Push the frontier of research in deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML.
- Publish research in leading national and international conferences and scientific journals.
- Collaborate with product and engineering teams to improve identity-focused solutions.
- Deploy and improve ML models globally.
Representative Work Highlights:
- Implement bias-mitigation strategies to create fair face-matching and deepfake-detection models.
- Develop and benchmark large-scale vision-language models for document extraction.
- Train a multi-modal document understanding model from synthetic data.
- Optimize inference latency in LoRA adapters/PEFT/Triton.
- Profile and improve model training speed on multiple GPUs.
- Create large-scale datasets for deepfake detection.
- Experiment with multimodal models to detect fraud.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Candidate Qualifications
You may be a strong fit for this role if you:
- Have strong experience in machine learning and computer vision.
- Show proof of successfully delivering high-performance ML-driven products.
- Have a deep understanding of machine learning theory.
- Demonstrated expertise in Python and PyTorch.
- Are passionate about building fair and cutting-edge ML solutions.
Junior candidates may also demonstrate:
- Technical experience in areas such as:
- Face matching,
- Bias mitigation,
- Anomaly detection,
- Document understanding, or
- On-device ML.
- Publications in top-tier machine learning conferences.
- Experience optimizing distributed training code.
Working Location
This hybrid role is based in our London, UK office, requiring three in-office days per week.
Ready to Make an Impact?
If you’re excited by the opportunity to shape cutting-edge AI for meaningful security applications, join us at Entrust. Let's build a more secure world—together.
Apply today!
NO AGENCIES, NO RELOCATION
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location