THE ROLE:

Onfido is seeking Machine Learning/ Computer Vision Engineers to help us continue to build our amazing product. You’ll join a talented and friendly engineering team who pride themselves on delivering great code in an industry where privacy, security and reliability are crucial. It’s a critical time at Onfido as we aim to scale and evolve our product without sacrificing robustness and quality; an agile, automation-driven and passionate test team will be crucial to our success. The ideal candidate will have industry experience working on a range of classification and image processing problems, e.g. document classification, image auto-rotation, optical character recognition, language modelling, face verification and face recognition. We’re looking for experienced back-end engineers to join our talented and rapidly growing engineering team.

Our Stack:

We aim to stay flexible and primarily build in Python and Lua. We’re not dogmatic about technology: we try to make sure we’re choosing tools that are the best fit for the problems we’re solving.

Responsibilities:

1. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models.
2. Suggest, collect and synthesise requirements and create effective feature roadmap for Onfido’s background checking technologies.
3. Code deliverables in tandem with Onfido’s engineering team.
4. Adapt standard image processing and machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

REQUIREMENTS

1. MS degree in Computer Science or related quantitative field with 3-5 years of relevant experience or PhD degree in Computer Science or related quantitative field.
2. Coding experience in at least two of C, C++, Lua, Java, Python.
3. Experience with Git, writing shell scripts and working in a Unix environment.
4. Experience in at least one of the machine learning libraries Torch, Theano, Caffe or similar.
5. Experience in at least one of the following areas: Computer Vision, Machine Learning.
6. Experience in at least one of the following areas: Face Verification, Voice Verification, Deep Learning, Natural Language Processing.

BENEFITS

We’re committed to making Onfido a fantastic place to work, so we go to great lengths to give you what you need to succeed. The whole Onfido team benefits from:

• Share options.
• A fully stocked kitchen with unlimited breakfast, drinks, snacks and fresh fruit every day.
• Unlimited budget for any software or books you need.
• Subsidised gym membership, free yoga classes and company 5-a-side football league.
• Monthly company dinners at some of the hottest restaurants in London.
• Quarterly socials (including cookery classes and private cinema trips).
• Friday afternoon drinks.
• Relaxed & informal office environment.

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