Simplifying identity for everyone.
Identity Verification • Computer Vision • Machine Learning • Culture • Artificial Intelligence
501 - 1000
💰 Grant on 2020-08
November 16, 2023
AWS
Computer Vision
Docker
Git
GitLab
Go
GRPC
Keras
Kubernetes
Machine Learning
Numpy
OpenCV
Python
React
Redis
Ruby
Tensorflow
TypeScript
Simplifying identity for everyone.
Identity Verification • Computer Vision • Machine Learning • Culture • Artificial Intelligence
501 - 1000
💰 Grant on 2020-08
• Develop state-of-the-art machine learning-backed services for automated biometric verification, document classification and extraction, as well as fraud analysis; • Build automated pipelines capable of minimising the time and effort of bringing support to new models and capabilities; • Iterate over research projects to optimise them and deploy them to production; • Continuously improve monitoring and tracing to provide a highly available service for our customers. • Work in a cross-functional team to design, build, test and ship fraud-catching products. • Work closely with researchers to take research-developed ML models to production. • Use off-the-shelf machine learning solution to provide simple initial solutions for fraud detection. • Design and implement efficient pre-processing steps around digital images or video files. • Extend existing ML pipeline to fit an increasing array of use cases. • Analyze algorithmic performances and identify common issues and potential improvements.
• Good knowledge and experience with Python • Familiarity with scientific libraries and frameworks such as Numpy, Tensorflow, Keras, Scikit Learn, OpenCV, ONNX • Interested in developing, deploying and monitoring production-facing machine learning systems • You're enthusiastic and technically curious about ML technologies • Capable with testing frameworks, such as PyTest • Experience with dependency management tools (e.g. Poetry) • Nice to have: Knowledge of Docker and Kubernetes • Familiarity with various different image and video file formats • Understanding of Computer Vision and standard Machine Learning algorithms (like decision trees, neural networks, support vector machines, clustering,…)
• Share options in Onfido, through our equity schemes. Share options have a one-year cliff and vest over four years • 25 days annual leave plus a day off for your Birthday • Two paid volunteering days per year. • Private Medical Insurance through Allianz • Life Assurance (3x Annual Base Salary) • Generous paid parental leave • Free mental health coaching provided online. • Life enrichment allowance of up to €95 per month for services including gym, yoga, fitness classes, massages, childcare, and therapy • Dedicated learning opportunities including using tools like Learnably 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 (OnThursday); 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 Onfido’s resource groups in order to learn different skills in our belonging groups after passing probation (3 months)
Apply NowFebruary 5, 2023
201 - 500