Machine Learning Engineer Data Science

2 weeks ago


London, United Kingdom Bumble Inc. Full time

Senior Machine Learning Engineer (Computer Vision) - Trust & Safety
Bumble Inc. is an equal opportunity employer and we strongly encourage people of colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.
Bumble is looking for a Senior Machine Learning Engineer (Computer Vision) to join our Trust & Safety team and play a key role fulfilling our mission to create a world where all relationships are healthy and equitable. Concretely, we are looking for talents with deep understanding in computer vision algorithms and rich hands-on experience in building vision systems. This means exploring, developing and deploying state of the art machine learning models that help Bumble provide a safe and engaging experience for our users and improve the way Bumble operates.
With millions of images and messages exchanged on our platform every day, there is a wealth of opportunity to make a real difference in this role and help people to find love all over the world The ideal candidate combines strong business acumen, extensive experience in machine learning applications (specifically in Computer Vision) along with a passion for tech.
Work in a cross-functional team alongside data scientists, machine learning engineers, engineering and product teams
Explore, develop and deliver new cutting-edge technologies for computer vision/machine learning applications like image classification, facial recognition and synthetic image generation
Participate in cutting-edge research in computer vision
Implement state-of-the-art machine learning models for measurable impact across the business 
Partner with business functions and engineering teams to help frame problems into scalable AI solutions and solve key problems by leveraging the large and complex datasets at our disposal
An advanced degree in Computer Science, Mathematics or a similar quantitative discipline - a Ph.D. is a bonus
Proven experience in ML with a Computer Vision focus
Experience in designing, developing, and training ML models for large-scale deployments
Experience in leading ML projects in the industry, from gathering requirements with stakeholders to production roll out and monitoring;
Experience in training and benchmarking dataset creation from dataset scoping, definition, preparation, and pre-processing for ML training
Understanding of software development life cycle processes and tools - ETL pipelines, CI/CD, MLOps, agile methodologies, version control (git), testing frameworks 
Experience accessing and combining data from multiple sources and building data pipelines
Strong statistical modelling background - hypotheses testing, inference, regressions, random variables
A passion for keeping up with the latest ongoings in Data Science and Machine Learning communities
AN ADDED BONUS IF YOU HAVE
An understanding of/experience with the Trust & Safety space
Publications in top data science conferences like KDD, ECML, NeurIPS
Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date), friendship (Bumble BFF) and professional networking (Bumble Bizz). Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products. Fruitz, founded in 2017, encourages open and honest communication of dating intentions through playful fruit metaphors. Official is an app for couples that promotes open and honest communication between partners and was founded in 2020.
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