At a Glance
- Tasks: Join a dynamic team to develop innovative AI-driven features for online dating.
- Company: Bumble, a leader in revolutionising online connections through technology.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on creativity and collaboration.
- Why this job: Shape the future of relationships with cutting-edge AI and make a real impact.
- Qualifications: Advanced degree in a quantitative field and experience in machine learning deployment.
The predicted salary is between 60000 - 80000 £ per year.
Join our team at Bumble, where we’re revolutionizing online dating through innovative AI-driven experiences. We’re seeking machine learning engineers to spearhead the development of the next generation of online dating. In this role, you will be a foundational member of a small, dynamic team dedicated to creating cutting-edge solutions that redefine how people connect and form relationships online. The ideal candidate thrives in a fast-paced environment, is a creative thinker, and has a proven track record in Generative AI and Machine Learning. If you're passionate about leveraging AI to shape the future of online connections, we want to hear from you!
What you'll be doing:
- Work in a small, dynamic team that values agility, creativity, and autonomy
- Contribute to the technical development of new (generative) AI-powered features in our apps
- Collaborate cross-functionally with teams across the business to identify user needs and design AI and Machine Learning solutions that meet these needs
- Collaborate with the MLOps team to optimize AI and Machine Learning solutions for performance and scalability
- Mentor and coach team members on ML engineering best practices
- Stay up to date with the latest developments in AI to drive innovation
We'd love to meet someone with:
- An advanced degree in Computer Science, Mathematics or a similar quantitative discipline
- Hands-on experience in delivering machine learning models to production at scale
- Demonstrated ability to develop innovative technical solutions to complex problems
- Experience in writing production-quality Python code
- Comfortable working with classic ML frameworks, such as Pytorch or TensorFlow
- Comfortable working with modern LLM deployment frameworks and libraries, such as HuggingFace TGI, VLLM, TensorRT-LLM, or similar
- Strong understanding of machine learning applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring and alerting
- Comfortable working with Docker and containerised applications
- Experienced at deploying high-load ML applications on container orchestrators (bare-metal k8s, GKE, EKS)
- Understanding of the concepts of GPU-powered workloads, NVIDIA drivers, container runtimes
- Strong communication skills, and the ability to work collaboratively and proactively in a fast-paced environment alongside technical and non-technical stakeholders
- A genuine passion for AI and Machine Learning, and a thoughtful approach to AI fairness, accountability, and transparency.
Senior Machine Learning Engineer - AI Discovery employer: Bumble
At Bumble, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our dynamic team environment encourages creativity and autonomy, providing ample opportunities for professional growth in the rapidly evolving field of AI and Machine Learning. Located in a vibrant tech hub, we offer competitive benefits and a commitment to work-life balance, making Bumble not just a workplace, but a community dedicated to shaping the future of online connections.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer - AI Discovery
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving generative AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Bumble.
We think you need these skills to ace Senior Machine Learning Engineer - AI Discovery
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with machine learning models and any innovative solutions you've developed. We want to see how you can contribute to our AI-driven mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your passion for AI and online connections. Share specific examples of your work in generative AI and how it relates to the role. Let your personality shine through – we love creativity!
Showcase Your Projects:If you've worked on any relevant projects, especially those involving Python or ML frameworks like Pytorch or TensorFlow, make sure to include them. We’re keen to see your practical experience and how you’ve tackled complex problems in the past.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you're serious about joining our team!
How to prepare for a job interview at Bumble
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and machine learning, especially generative AI. Be ready to discuss your hands-on experience with frameworks like Pytorch or TensorFlow, and how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex problems you've tackled using innovative technical solutions. Highlight your ability to think creatively and how you’ve contributed to projects that required agility and collaboration.
✨Familiarise Yourself with MLOps
Since this role involves optimising AI solutions for performance and scalability, be prepared to discuss your experience with CI/CD processes, version control, and containerisation tools like Docker. Show that you understand the full machine learning lifecycle.
✨Communicate Effectively
Strong communication skills are key, especially when working with cross-functional teams. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with both technical and non-technical stakeholders.
