Applied Scientist Lead (Computer Vision / Machine Learning)

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Join Onfido as an Applied Scientist Lead (Computer Vision / Machine Learning)

At Onfido, we empower people to prove their identity anytime, anywhere. Our mission is to create a more accessible digital world by connecting individuals to their desired services seamlessly and securely, whether they're renting a car or opening a bank account.

We’re building a comprehensive suite of AI-powered identity verification solutions rooted in fairness and inclusiveness. Our innovative technology has earned us accolades such as 'Outstanding Leader in Accessibility,' 'Best Innovation in Algorithmic Bias Mitigation,' and 'Best AI Product in FinTech' at CogX.

Our Achievements

As a global leader in technology, Onfido has surpassed $130M in annual recurring revenue (ARR), carving out a notable position in the global marketplace, and winning numerous performance and innovation awards:

  • 'Best Fraud Detection and Prevention Company of the Year' by Frost & Sullivan (2023)
  • Named a Strong Performer in Forrester's 2022 Identity Verification Wave
  • Included in the CB Insights Fintech 250 for the fourth consecutive year

With over $200 million in funding from investors such as TPG Growth, Microsoft, and Salesforce, Onfido partners with hundreds of businesses to facilitate millions of identity verifications weekly - from billion-dollar institutions to hypergrowth unicorns. We support checks in 195 countries and verify over 2,500 document types for our 1,200+ global customers.

Our Culture

Onfido promotes an inclusive and diverse community where everyone is encouraged to bring their whole selves to work. We celebrate diverse backgrounds and perspectives, welcoming individuals from all walks of life to solve some of the world's most pressing challenges together.

AI at Onfido

AI is at the heart of Onfido. Over the past decade, our team of 20+ Applied Scientists has developed state-of-the-art solutions that are now used by thousands of customers worldwide. Our team tackles complex AI challenges to create the most advanced fraud detection system in the industry, contributing to open-source initiatives and publishing research.

Role: Applied Scientist Lead

We're looking for an Applied Scientist Lead to join us in tackling unsolved problems such as few-shot learning, large-scale self-supervised learning, bias mitigation, uncertainty modeling, and explainable AI. As a senior AI leader, you will drive Onfido’s growth by applying cutting-edge machine learning and computer vision techniques to deliver real-world value.

Responsibilities

  • Lead and develop a team of junior and senior scientists to research and deliver innovative AI models.
  • Provide technical leadership and foster a culture of creativity and technical excellence.
  • Initiate and drive projects to advance identity verification technology, protecting against sophisticated fraud attacks.
  • Communicate technical vision and roadmap within the organization and externally.
  • Act as an external ambassador, providing industry thought leadership in AI.
  • Contribute to scientific discoveries through hands-on work and collaborations.
  • Collaborate with various stakeholders (Product, Engineering, Analytics, MLOps/DataOps, customer support).
  • Publish research and represent Onfido at national and international conferences.
  • Contribute to filing patents.

Essential Skills

  • At least 3 years of experience leading an Applied Machine Learning team in the industry.
  • Proven track record of delivering high-performance ML-driven products.
  • Deep knowledge of machine learning fundamentals and applied deep learning.
  • Strong interest in collaborating with multiple stakeholders and real-world customers.

Desirable Skills

  • Experience with open-source contributions and outreach (publications, talks).

Values and Behaviours

At Onfido, we seek individuals who share our core values. With over 35 nationalities in our growing team, we're a culturally enriching place to work. Explore the !

Where You Will Be

Onfido has a distributed workforce with a hybrid model. Choose to work fully remote or come to our offices as per your preference