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 options, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on creativity and collaboration.
- Why this job: Shape the future of online relationships with cutting-edge AI technology.
- Qualifications: Advanced degree in a quantitative field and hands-on ML experience required.
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.
Software Engineer, Machine Learning in London employer: Bumble
At Bumble, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our dynamic work environment encourages creativity and autonomy, allowing our software engineers to thrive while developing cutting-edge AI solutions that redefine online dating. With ample opportunities for professional growth and a commitment to staying at the forefront of technology, Bumble is the perfect place for passionate individuals eager to make a meaningful impact in the world of AI-driven connections.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Machine Learning in London
✨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. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects. Practice common interview questions and think about how your experience aligns with what Bumble is looking for.
✨Tip Number 4
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 Software Engineer, Machine Learning in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and Machine Learning shine through. We want to see how your passion aligns with our mission to revolutionise online dating through innovative technology.
Tailor Your Experience:Make sure to highlight your hands-on experience with machine learning models and any relevant projects you've worked on. We love seeing how your skills can contribute to our dynamic team and the exciting challenges we tackle.
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to describe your technical skills and experiences, especially with Python and ML frameworks. We appreciate clarity as much as creativity!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this fantastic opportunity to join our team.
How to prepare for a job interview at Bumble
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and frameworks like Pytorch and TensorFlow. Be ready to discuss your hands-on experience with deploying models and any innovative solutions you've developed. This is your chance to showcase your technical prowess!
✨Show Your Creative Side
Bumble is all about innovation, so think of unique ways AI can enhance online dating. Prepare examples of how you've approached complex problems creatively in the past. This will demonstrate your ability to think outside the box and contribute to their dynamic team.
✨Collaboration is Key
Since you'll be working cross-functionally, be prepared to talk about your experience collaborating with different teams. Highlight instances where you identified user needs and designed solutions that met those needs. This shows you can work well with both technical and non-technical stakeholders.
✨Stay Current
Keep yourself updated on the latest trends and developments in AI and machine learning. Mention any recent advancements or tools you've explored, especially those related to generative AI. This will show your genuine passion for the field and your commitment to driving innovation.
