Machine Learning Engineer

Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows. It provides actionable insights to help businesses in a variety of industries. Join us as we continue to expand, grow, innovate, and help take Scandit to the next level.

Banks, fintechs and regulated businesses need more than document scanning. They need to know the person holding the ID is real and is its rightful owner. As a Senior Machine Learning Engineer in our ID Capture team, you will build the machine learning behind that, centred on face recognition and face matching. You will also support our liveness and presentation attack detection work.

You will have real ownership of the architecture, data and benchmarks, and your models will run fully on device, on the phones our users already have, with no cloud round-trip.

If these challenges sound interesting to you, we'd love to hear from you!

About the role

You will drive our face-matching work for high-assurance identity verification. You will own models end to end and work closely with our C++ engineers to ship them on device, at scale, on millions of phones and scanners. 

What you will do

• Design, train and evaluate models for face detection, face recognition and 1:1 face matching against ID document portraits
• Support the team's work on liveness and presentation attack detection (PAD) against spoofs, replays and deepfakes
• Define quality metrics, benchmarks and test sets that meet high-assurance and regulatory expectations
• Own the full loop: data collection and labelling strategy, prototyping, training, evaluation, debugging and model integration
• Optimise models for on-device inference with our C++ engineers (quantisation, pruning, mobile runtimes)
• Track research in biometrics and face anti-spoofing, and turn it into product direction
• Mentor engineers on ML practice

Our tech stack

• Python, PyTorch
• ONNX
• C++ on-device SDK
• iOS / Android

Who you are

We are looking for an experienced ML engineer who has shipped production models to real users and has worked hands-on with biometrics. You are comfortable owning ambiguous problems, moving fast and then iterating. You also work well with product, C++ and QA engineers.

• 5+ years as an ML engineer, with production models shipped to real users