We strongly encourage people of colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, and individuals with disabilities to apply.
Bumble is an equal opportunity employer and welcomes everyone to our team.
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Bumble is looking for a Machine Learning Engineer (Computer Vision) to join our Trust & Safety team and play a key role in fulfilling our mission to create a world where all relationships are healthy and equitable.
Concretely, we are looking for talents with a deep understanding of 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.
WHAT YOU WILL BE DOINGWork in a cross-functional team alongside data scientists, machine learning engineers, engineering and product teamsExplore, develop and deliver new cutting-edge technologies for computer vision/machine learning applications like image classification, facial recognition and synthetic image generationParticipate in cutting-edge research in computer visionSet up and conduct large-scale experiments to test hypotheses and drive product developmentImplement state-of-the-art machine learning models for measurable impact across the businessPartner 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 disposalKeep up with state-of-the-art research with the opportunity to create prototypes for the business and publish at top conferencesWE'D LOVE TO MEET SOMEONE WITHAn advanced degree in Computer Science, Mathematics or a similar quantitative discipline - a Ph.D. is a bonusProven experience in ML with a Computer Vision focusExperience in designing, developing, and training ML models for large-scale deploymentsExperience in deploying high-load ML applications on container orchestrators (K8s, Kubeflow, etc)Experience in training and benchmarking dataset creation from dataset scoping, definition, preparation, and pre-processing for ML trainingUnderstanding of software development life cycle processes and tools - ETL pipelines, CI/CD, MLOps, agile methodologies, version control (git), testing frameworksExperience accessing and combining data from multiple sources and building data pipelinesStrong statistical modelling background - hypotheses testing, inference, regressions, random variablesAbility to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers and non-technical stakeholdersAbility to combine business intuition with the application of advanced solutionsA passion for keeping up with the latest ongoings in Data Science and Machine Learning communitiesA curious mind, self-starter and endlessly keen to learn and develop themselves professionally
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