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About the role
- Research Engineer at iProov developing innovative biometric solutions for secure access using cutting-edge Deep Learning technology. Collaborating on research projects to enhance liveness verification and biometric security.
Responsibilities
- You’ll be part of a collaborative, low-ego team pushing the boundaries of liveness verification and biometric security to protect millions of users worldwide.
- In this role, you’ll spend most of your time exploring and innovating, developing new biometric tests from palm and fingerprint matching to advanced presentation-attack detection to stay one step ahead of attackers.
- You’ll design acquisition systems and then stress-test them by trying to spoof and break your own work, ensuring our defences are ready before real-world threats appear.
- You’ll tackle complex challenges in biometric acquisition, improve data quality, and create samples that closely mimic contact-based systems.
- Most importantly, you’ll anticipate and defend against threats that haven’t even been imagined yet, keeping our technology secure long after it goes live.
- As a Research Engineer, you will use state-of-the-art Deep Learning technology to develop creative solutions for exciting, industry-defining problems.
- Take ownership of research areas in computer vision, machine learning, and biometrics.
- Work collaboratively with the research team to find the best solutions.
- Communicate research outcomes and findings across the company.
- Contribute to the broader research strategy of the team.
- Challenge the existing solutions and improve the status quo.
- Contribute to a strong team ethic, encouraging psychological safety and inclusivity.
Requirements
- A Master's or PhD in a quantitative field such as computer science, engineering, or computational neuroscience.
- Experience in machine learning and computer vision.
- Strong mathematical skills.
- Experience in developing research projects using Python.
- A solid understanding of machine learning techniques, including Neural Networks.
- Familiarity with Python libraries such as NumPy, Pandas, and Scikit-learn.
- Experience with Deep Learning libraries like PyTorch or TensorFlow.
- The ability to process large amounts of data, including unstructured data.
- Excellent communication skills for understanding and explaining complex concepts.
- Strong programming skills with a good grasp of data structures, object-oriented programming, and software engineering principles.
- Good time management and organizational skills.
- Great to have (but not essential) Understanding of multiple machine learning disciplines, such as Image Processing, Computer Vision, Signal Processing, Natural Language Processing, and Pattern Recognition.
- Experience with Docker and Google Cloud Platform.
- Experience with DevOps tools for experiment tracking, automation, and dataset versioning.
Benefits
- 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service)
- Growth Shares allocated after passing probation (6 months of service)
- Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme
- Nursery Sacrifice Scheme
- Work Overseas Perk - Work globally for up to 2 weeks
- Life Assurance
- SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family
- Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist
- Award winning L&D platform with personal allocated training budgets
- Enhanced paid family leave
- Pension - 5% employee, 3% employer
- Flexible hybrid working environment
- Free Barista Coffee/Tea, biscuits with fruit in the WeWork office
- Free access to WeWork discounts and free online well-being sessions
- Vitality Health - a range of options available on this below: The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: Private Health cover including Dental, Optical, and Audiology
- 50% off monthly gym memberships
- Apple watches significantly discounted based member vitality status
- Half price trainers with Runners Need
- Weekly rewards – Free coffee with Café Nero
- Monthly rewards – Free Cinema ticket
- Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status
- Amazon prime free months based on activity
- Up to 25% cashback at Waitrose when buying healthy foods
- 75% off stays at Champneys Health Spas
- Allen Carr’s £299 no smoking programme for free
- Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace
- Discounts on Weight Watchers
- 50%-80% off Comprehensive Private Health screenings
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