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.
What You Will Be Doing
- 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.
Essential Skills
- 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.
Desirable Skills
- 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..