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We’re looking for a Research Engineer who thrives at the cutting edge of technology, someone who doesn’t just ask questions but brings ideas, experiments, and solutions to the table. 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.
Job Responsibility:
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
Nice to have:
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
You have excellent interpersonal skills and enjoy collaborating to refine solutions
You are naturally curious and love exploring new ideas
You have the perseverance and desire to solve challenging problems
You feel confident in suggesting and discussing your ideas
You enjoy the exploratory and dynamic nature of research
You are eager to learn new techniques and technologies
What we offer:
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