Entrust
Identity-centric security solutions
AppliedScientistLead-ComputerVision
Neural analysis suggests this role is
optimal for Lead candidates.
“Applied Scientist Lead - Computer Vision at Entrust. Skills: Computer Vision, Machine Learning, Applied Science, Team Leadership. Define team roadmap. Stay up-to-date on literature”
What You'll Achieve.
Deliver systems that are accurate; Deliver systems that are fast; Deliver systems that are fair; Deliver systems that are resilient; Deliver meaningful product impact
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
2+ years of experience leading a team of ML scientists or research engineers, 5+ years of industry experience as an individual contributor in a machine learning science team, Experience in machine learning and computer vision, Record of successfully delivering high-performance ML-driven products, Deep understanding of machine learning theory, Coding skills in Python and PyTorch
Nice to Have
Technical experience in document understanding, Technical experience in vision-language modelling, Technical experience in few-shot learning, Technical experience in distillation, Technical experience in quantisation, Technical experience in active learning, Published at top-level machine learning conferences, Experience optimizing (distributed) training code
What You'll Do.
Stay up-to-date on literature
Translate insights into product opportunities
Manage a team of 6 Applied Scientists
Contribute to dataset creation
Contribute to model training
Contribute to evaluation code
Push research frontier
Publish research results
How You'll Work.
Team & Collaboration
Product and engineering leads; Cross-functional teams
Communication Scope
External contributions; Publications; Talks; Open-source work
Process & Methodology
Roadmap planning
Full Job Description
**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. **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 Company - Entrust Identity Verification:_** At Entrust, identity is no longer a compliance checkbox—it’s a real-time product problem shaped by machine learning, adversarial behavior, and high-stakes decisions. Every verification is a trade-off between fraud prevention, user experience, speed, and trust—and getting it right determines whether a legitimate user gets access or a sophisticated attacker gets stopped. Our Identity portfolio (formerly Onfido) powers document and biometric verification, fraud detection, and identity decisions at global scale. From detecting deepfakes to enabling seamless onboarding, our ML systems sit directly on the critical path of digital trust—used by banks, fintechs, marketplaces, and enterprises worldwide. **_About the Team:_** You’ll join a high-caliber Applied Science group (~20+ scientists) working at the intersection of machine learning, product, and real-world constraints. The team is supported by a state-of-the-art ML Ops ecosystem (AWS, Encord, Ray, PyTorch Lightning, Weights & Biases) and partners closely with product and engineering to ship models into production at scale. This is applied research in its truest sense: advancing the frontier while delivering systems that must be accurate, fast, fair, and resilient in adversarial environments. **_Position Overview:_** We’re looking for An **Applied Scientist Lead - C
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