Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our Trust & Safety team to develop cutting-edge computer vision technologies.
- Company: Bumble is dedicated to creating healthy and equitable relationships for everyone.
- Benefits: Enjoy a diverse and inclusive workplace with opportunities for professional growth.
- Why this job: Make a real impact by improving user safety and engagement on a global platform.
- Qualifications: Advanced degree in Computer Science or related field; experience in ML and Computer Vision required.
- Other info: We welcome applicants from all backgrounds and encourage you to share your pronouns.
The predicted salary is between 42000 - 84000 £ per year.
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. If you need reasonable adjustments at any point in the application or interview process, please let us know.
In your application, please feel free to note which pronouns you use (For example – she/her/hers, he/him/his, they/them/theirs, etc).
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 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 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 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
#J-18808-Ljbffr
Machine Learning Engineer, Computer Vision employer: Bumble
Contact Detail:
Bumble Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer, Computer Vision
✨Tip Number 1
Familiarize yourself with the latest advancements in computer vision and machine learning. Follow relevant research papers, attend webinars, and participate in online forums to stay updated on cutting-edge technologies that could be beneficial for Bumble's Trust & Safety team.
✨Tip Number 2
Showcase your hands-on experience by working on personal or open-source projects related to image classification, facial recognition, or synthetic image generation. This practical experience will demonstrate your ability to apply theoretical knowledge in real-world scenarios.
✨Tip Number 3
Network with professionals in the field of machine learning and computer vision. Attend industry conferences, meetups, or online events to connect with others who share your interests and may provide insights or referrals for opportunities at Bumble.
✨Tip Number 4
Prepare to discuss how you can leverage large datasets to create scalable AI solutions. Think about specific examples from your past work where you successfully framed problems and implemented machine learning models that had a measurable impact.
We think you need these skills to ace Machine Learning Engineer, Computer Vision
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your hands-on experience with computer vision algorithms and machine learning applications. Provide specific examples of projects you've worked on that demonstrate your skills in image classification, facial recognition, or synthetic image generation.
Showcase Your Education: Mention your advanced degree in Computer Science, Mathematics, or a related field prominently. If you have a Ph.D., be sure to highlight it as a bonus qualification that aligns with the job requirements.
Express Your Passion: Convey your enthusiasm for technology and data science. Discuss how you keep up with the latest trends and research in the field, and mention any relevant conferences or publications you are involved with.
Include Your Pronouns: As Bumble encourages inclusivity, feel free to include your preferred pronouns in your application. This shows that you align with their values of creating a welcoming environment for all applicants.
How to prepare for a job interview at Bumble
✨Showcase Your Technical Skills
Be prepared to discuss your experience with computer vision algorithms and machine learning models. Bring examples of projects you've worked on, especially those involving image classification or facial recognition, to demonstrate your hands-on expertise.
✨Understand Bumble's Mission
Familiarize yourself with Bumble's mission to create healthy and equitable relationships. Be ready to explain how your skills in machine learning can contribute to this goal, particularly in enhancing user safety and engagement.
✨Prepare for Collaborative Scenarios
Since the role involves working in cross-functional teams, think of examples where you've successfully collaborated with data scientists, engineers, or product teams. Highlight your ability to communicate complex technical concepts to non-technical stakeholders.
✨Stay Updated on Industry Trends
Demonstrate your passion for the field by discussing recent advancements in machine learning and computer vision. Mention any relevant research papers or conferences you've followed, showing that you're proactive about staying informed and continuously learning.
