At a Glance
- Tasks: Join our Trust & Safety team to develop cutting-edge computer vision technologies.
- Company: Bumble Inc., a leader in building healthy 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 safety while working with state-of-the-art machine learning models.
- 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.
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 in London 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 connections worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Computer Vision ML Engineer for Trust & Safety Impact in London
✨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
Stay updated with the latest trends in machine learning and computer vision. Join online communities, attend webinars, and read up on recent research. This not only boosts your knowledge but also shows your passion for the field.
✨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 and contributing to our mission.
We think you need these skills to ace Senior Computer Vision ML Engineer for Trust & Safety Impact in London
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 research. We want to see how your skills align with our mission at Bumble!
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 our team. Let us know what excites you about working with Bumble!
Showcase Your Projects:If you've worked on any cool computer vision projects, make sure to showcase them! Whether it's image classification or facial recognition, we love seeing practical applications of your skills. Include links to your GitHub or any publications if you have them.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
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 specific models you've worked with, like image classification or facial recognition, and how they can be applied to enhance user safety on Bumble.
✨Showcase Your Projects
Prepare to talk about your previous machine learning projects in detail. Highlight your role in leading these projects, the challenges you faced, and how you collaborated with cross-functional teams to deliver impactful results.
✨Understand the Business Impact
Bumble is all about creating healthy relationships, so think about how your technical skills can contribute to this mission. Be ready to discuss how your work in computer vision can solve real-world problems and improve user experiences.
✨Stay Current with Trends
Demonstrate your passion for the field by discussing recent advancements in machine learning and computer vision. Mention any relevant research or publications you've followed, and how they could influence your work at Bumble.
