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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.
- 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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