Applied Scientist

Onfido, City of Westminster

Applied Scientist

Salary not available. View on company website.

Onfido, City of Westminster

  • Full time
  • Permanent
  • Onsite working

Posted 1 week ago, 4 Nov | Get your application in now before you're too late!

Closing date: Closing date not specified

job Ref: 450cbce9303843c182f37207921e800c

Full Job Description

We are looking for a Senior Applied Scientist 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.

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.

At Entrust, we\u2019re 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\u2019sthe curiosity, dedication, and innovation that drive our success and help us anticipate the future.

Join us at Entrust :

At Entrust, we\u02bcre shaping the future of identity-centric security solutions. We\u02bcre a global company providing solutions for a large customer base, from traditional top-five banks to small- scale startups all over the world. Every day, millions of people rely on our world-class machine learning technologies.

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., At Entrust, we don\u2019t just offer jobs \u2013 we offer career journeys. Here is what you can expect when you join our team :

Career Growth : Whether you\u2019re a budding developer or a seasoned expert, we\u2019re 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\u2019re 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\u2014but it doesn\u2019t stop there. At Entrust, we\u2019re 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\u2019re creating a community where everyone is encouraged to be themselves.

Ready to Make an Impact?

If you\u2019re 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\u2019s build a more secure world\u2014together.

Published at top-level machine learning conferences. Experience optimising (distributed) training code.

Where you will be : This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week.

Benefits UK

25 days annual leave plus a day off for your Birthday.

Two paid volunteering days per year.

Bupa Private Medical and Dental Insurance

Pension with The People\u2019s Pension (employer contribution 4% of base salary)

Generous paid parental leave

Life enrichment allowance of up to \u00a380 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy

Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more

Our open and transparent culture is reflected in our \u201cBetter Together\u201d motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events

Direct job link

https://www.jobs24.co.uk/job/applied-scientist-125914284
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