At a Glance
- Tasks: Join a dynamic team to develop innovative AI-driven dating solutions.
- Company: Bumble, a leader in revolutionising online dating through technology.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on creativity and innovation.
- Why this job: Shape the future of online connections with cutting-edge AI technology.
- Qualifications: Advanced degree in a quantitative field and hands-on ML experience required.
The predicted salary is between 70000 - 90000 £ 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 in London 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 an ideal place for those passionate about shaping the future of online connections.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer - AI Discovery 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, 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—employers love to see how you think!
✨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 in London
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 shine! Share your passion for AI and how it drives you to create meaningful connections. Let us know why you're excited about joining our dynamic team and how your background aligns with our goals.
Showcase Your Projects:If you've worked on any relevant projects, especially in Generative AI or ML, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements and the impact they had!
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’re considered for the role. Plus, it shows your enthusiasm for being part of our team at Bumble!
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 around generative models. 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. Think about how you can demonstrate your ability to deliver machine learning models to production at scale and the impact it had.
✨Collaboration is Key
Since this role involves working closely with cross-functional teams, be ready to talk about your experience collaborating with both technical and non-technical stakeholders. Highlight any mentoring or coaching you've done, as it shows leadership potential.
✨Get Familiar with MLOps
Understand the machine learning application development life cycle processes and tools. Be prepared to discuss your experience with CI/CD, version control, and containerisation, especially with Docker and Kubernetes, as these are crucial for optimising AI solutions.
