At a Glance
- Tasks: Join our Trust & Safety team to develop cutting-edge computer vision models that enhance user safety.
- Company: Bumble, a leader in creating healthy and equitable relationships through innovative tech.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Make a real impact on user experiences while working with the latest machine learning technologies.
- Qualifications: Advanced degree in Computer Science or related field, with strong ML and computer vision experience.
The predicted salary is between 60000 - 80000 £ per year.
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. 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 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.
About Us
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.
Senior Computer Vision ML Engineer for Trust & Safety Impact employer: Bumble
Bumble is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to make a meaningful impact on user safety and relationship building. With a strong focus on professional growth, Bumble offers opportunities for continuous learning and development in cutting-edge technologies, all while being part of a mission-driven team dedicated to creating healthy and equitable connections worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Computer Vision ML Engineer for Trust & Safety Impact
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Bumble or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your computer vision projects. Whether it's image classification or facial recognition, having tangible examples of your work can really impress hiring managers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and ML concepts. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Bumble team. Let’s make a difference together!
We think you need these skills to ace Senior Computer Vision ML Engineer for Trust & Safety Impact
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your experience in computer vision and machine learning, and don’t forget to mention any relevant projects or technologies you've worked with. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the Trust & Safety space and how your background makes you a perfect fit for Bumble. Let us know what excites you about the role and our company!
Showcase Your Projects:If you’ve got any cool projects or research in computer vision, make sure to showcase them! Whether it’s a GitHub repo or a publication, we love seeing practical applications of your skills. It helps us understand your hands-on experience better.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Bumble
✨Know Your Algorithms
Make sure you brush up on your computer vision algorithms before the interview. Be ready to discuss how you've applied these in real-world scenarios, especially in image classification and facial recognition. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Projects
Prepare to talk about specific projects where you've designed, developed, and deployed machine learning models. Highlight your role in leading these projects and how you collaborated with cross-functional teams. This will demonstrate your hands-on experience and ability to drive results.
✨Understand the Business Impact
Bumble is all about creating safe and engaging experiences for users. Think about how your work in machine learning can directly impact user safety and engagement. Be ready to discuss how you can frame technical problems into scalable AI solutions that align with Bumble's mission.
✨Stay Current with Trends
Keep yourself updated with the latest trends in data science and machine learning. Mention any recent research or developments that excite you, especially those related to Trust & Safety. This shows your passion for the field and your commitment to continuous learning.
