At a Glance
- Tasks: Design and train cutting-edge machine learning solutions for digital identities.
- Company: Entrust, a leader in identity-centric security solutions.
- Benefits: Career growth, flexible work options, and a collaborative culture.
- Why this job: Innovate in machine learning while tackling real-world challenges like deepfake detection.
- Qualifications: Experience in machine learning, computer vision, and strong coding skills in Python and PyTorch.
- Other info: Join a diverse team committed to making a secure world.
The predicted salary is between 36000 - 60000 £ per year.
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.
You will design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML.
About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI-powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government-issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base.
Position Overview: We are looking for an Applied Scientist I to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML.
What you will be doing:
- Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML.
- Publish research results in national and international conferences and scientific journals.
- Work with product and engineering to improve our world-class identity-focused products.
Representative work:
- Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models.
- Train and benchmark large-scale vision-language models for document extraction.
- Train a multi-modal document understanding model from scratch using synthetic data.
- Optimise LoRA adapter latency in PEFT/Triton.
- Profile, debug and improve model training speed on multiple GPUs.
- Create a large-scale dataset for deepfake detection.
- Experiment with multimodal models to detect fraud.
You may be a good fit if you:
- 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.
- Care about building fair and cutting-edge machine learning products.
Strong candidates may also have:
- Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML.
- Published at top-level machine learning conferences.
- Experience optimising (distributed) training code.
Location: London, hybrid: 3 days per week in office.
At Entrust, we don’t just offer jobs – we offer career journeys. Here is what you can expect when you join our team:
- Career Growth: Whether you’re a budding developer or a seasoned expert, we’re invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority.
- Flexibility: Life is all about balance. Whether you’re remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.
- Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow.
We believe in securing identities—but it doesn’t stop there. At Entrust, we’re passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we’re creating a community where everyone is encouraged to be themselves.
Ready to Make an Impact? If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world—together. Apply today!
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.
Applied Scientist I in London employer: Onfido SAS (FR)
Contact Detail:
Onfido SAS (FR) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist I in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Entrust on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Applied Scientist I role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for technical interviews by brushing up on your machine learning concepts and coding skills in Python and PyTorch. Practice solving problems related to deepfake detection and bias mitigation, as these are key areas for the role.
✨Tip Number 3
Showcase your passion for innovation! During interviews, share your thoughts on the latest trends in identity-centric security solutions and how you can contribute to Entrust's mission. Let your enthusiasm shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Entrust team and making an impact.
We think you need these skills to ace Applied Scientist I in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Applied Scientist I role. Highlight your experience in machine learning and computer vision, and don’t forget to mention any relevant projects or research that align with our focus on digital identities.
Showcase Your Skills: We want to see your coding prowess! Include specific examples of your work with Python and PyTorch, especially if you've tackled challenges like bias mitigation or anomaly detection. This is your chance to shine!
Be Authentic: Let your personality come through in your application. We value diversity and inclusion, so don’t hesitate to share what makes you unique and how you can contribute to our collaborative culture at Entrust.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to review your application and get you one step closer to joining our team!
How to prepare for a job interview at Onfido SAS (FR)
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning and computer vision knowledge. Be ready to discuss specific algorithms, models, and techniques you've worked with, especially in areas like deepfake detection and bias mitigation. Showing a solid understanding of the theory behind your work will impress the interviewers.
✨Showcase Your Projects
Prepare to talk about your past projects, particularly those that relate to the job description. Highlight any experience you have with Python and PyTorch, and be ready to explain how you implemented bias-mitigation strategies or optimised training code. Real-world examples will help demonstrate your skills and experience.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Entrust's identity-centric solutions and the challenges the team is currently facing. This shows your genuine interest in the role and helps you understand if the company culture aligns with your values.
✨Emphasise Collaboration
Entrust values teamwork and collaboration, so be sure to highlight your experiences working in teams. Discuss how you've contributed to group projects, shared ideas, and tackled challenges together. This will show that you're not just a great scientist but also a great team player.