Entrust
Senior Applied Scientist - Computer Vision
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Job Description: Senior Applied Scientist
We are looking for a 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 organization 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.
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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.
Where you will be:
At Entrust, we have a distributed workforce. This role will be based as advertised on the job description. We have a hybrid model, and you can choose to work fully remote, or come to our offices! We let all our employees choose what’s best for them.
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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About Entrust
Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. We enable organizations to safeguard their operations, evolve without compromise, and protect their interactions in an interconnected world – so they can transform their businesses with confidence. Entrust supports customers in 150+ countries and works with a global partner network, we are trusted by the world most trusted organizations.
For more information, visit www.entrust.com. Follow us on, LinkedIn, Facebook, Instagram, and YouTube
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