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Senior Applied Scientist ID-21625

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

We are looking for Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication.

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  • Provide technical leadership for a team of highly capable applied AI scientists, fostering a culture of creativity, technical depth and excellence.



  • Initiate, plan and drive projects that will bring the next generation of digital onboarding products to the real world that can withstand the most aggressive and determined fraud attacks.



  • Design and build high performance end to end systems spanning all parts of the identity verification application from data acquisition, data processing, and post processing.



  • Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data.



  • Participate in hands-on machine learning research and deliver the results of the research in the form of new products.



  • Communicate technical vision and roadmap at multiple levels within the organisation and externally.



  • Publish research results in national and international conferences and scientific journals.



  • Represent Entrust at national and international scientific conferences.



  • Contribute to filing patents.




Qualifications




  • Strong experience in machine learning and computer vision, including industry experience deploying ML models to production.



  • Track record of successfully delivering high performance ML-driven products.



  • Worked with customers to impactfully solve their problems.



  • Deep understanding of machine learning theory.



  • Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch.




Requirements




  • Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields.



  • Technical experience with signal processing and image processing techniques.



  • Working knowledge of cloud computing (preferably AWS) and tools and technologies such as Kubernetes, Docker, Git, etc.




Benefits




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



  • Two paid volunteering days per year.



  • Bupa Private Medical and Dental Insurance.



  • Life Assurance (3x Annual Base Salary).



  • Pension with The People???s Pension (employer contribution 4% of base salary).



  • Generous paid parental leave.



  • Free mental health coaching provided online.



  • Life enrichment allowance of up to ??80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy.



  • Dedicated learning opportunities including using tools like Learnerbly 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 ???Better Together??? motto and we bring this to life by meeting once a week for our global weekly roundup (On Thursday); holding quarterly team socials, and other company-wide social events.



  • Expense up to ??300 (or local equivalent) to purchase workstation setup equipment.



  • The opportunity to become a member of Entrust???s resource groups to learn different skills in our belonging groups.
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