Senior Machine Learning Engineer (Computer Vision) - Trust & Safety
UK London
Bumble Inc.
Bumble has changed the way people date, create meaningful relationships & network with women making the first move. Meet new people & download Bumble.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.In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).
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.
WHAT YOU WILL BE DOING
- 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
- Set up and conduct large-scale experiments to test hypotheses and drive product development
- 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
- Keep up with state-of-the-art research with the opportunity to create prototypes for the business and publish at top conferences
WE’D LOVE TO MEET SOMEONE WITH
- 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
- Ability to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers and non-technical stakeholders
- Ability to combine business intuition with the application of advanced solutions
- A passion for keeping up with the latest ongoings in Data Science and Machine Learning communities
- A curious mind, self-starter and endlessly keen to learn and develop themselves professionally
AN ADDED BONUS IF YOU HAVE
- An understanding of/experience with the Trust & Safety space
- Experience with cloud infrastructures - GCP is a plus
- Publications in top data science conferences like KDD, ECML, NeurIPS
Bumble Inc. is the parent company of Bumble, Badoo, Fruitz and Official. The Bumble platform enables people to build healthy and equitable relationships, through kind connections. 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile CI/CD Classification Computer Science Computer Vision Data pipelines Engineering ETL GCP Git Machine Learning Mathematics ML models MLOps NeurIPS Pipelines Research SDLC Statistics Testing
Perks/benefits: Conferences
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