At a Glance
- Tasks: Join a dynamic team to develop innovative AI-driven dating solutions.
- Company: Bumble, a leader in revolutionising online dating with cutting-edge technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on creativity and innovation.
- Why this job: Shape the future of online connections using your passion for AI and Machine Learning.
- 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 ML Engineer: AI Discovery & GenAI Innovation in London employer: Bumble
At Bumble, we pride ourselves on fostering a vibrant and inclusive work culture that champions innovation and creativity. As a Senior ML Engineer, you'll be part of a close-knit team where your contributions directly impact the future of online dating, with ample opportunities for professional growth and mentorship. Located in a dynamic environment, we offer competitive benefits and a commitment to leveraging AI responsibly, making Bumble an exceptional place to advance your career while making meaningful connections.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer: AI Discovery & GenAI Innovation 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—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, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior ML Engineer: AI Discovery & GenAI Innovation 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. Share specific examples of projects or experiences that highlight your passion and how you envision using AI to shape online connections.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Senior ML Engineer role. Highlight relevant skills and experiences that align with the job description, especially your hands-on experience with Generative AI and ML frameworks like Pytorch or TensorFlow.
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to describe your technical skills and experiences, making it easy for us to see how you fit into our dynamic team. Avoid jargon unless it's necessary!
Apply Through Our Website:We encourage you to apply directly through our website. This way, your application will be processed more efficiently, and we can get back to you quicker. Plus, it shows you're serious about joining our innovative 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 Generative AI. Be ready to discuss your hands-on experience with ML frameworks like Pytorch or TensorFlow, and how you've applied them in real-world scenarios. This shows you're not just familiar with the theory but can also deliver practical solutions.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex problems you've tackled using machine learning. Highlight your innovative approaches and the impact of your solutions. This will demonstrate your creative thinking and ability to thrive in a fast-paced environment.
✨Collaboration is Key
Since the role involves working cross-functionally, think of instances where you've successfully collaborated with different teams. Be ready to discuss how you identified user needs and designed solutions that met those needs, showcasing your strong communication skills.
✨Get Technical with MLOps
Familiarise yourself with MLOps processes and tools, especially CI/CD and version control. Be prepared to talk about your experience with deploying high-load ML applications and optimising them for performance. This will show that you understand the full lifecycle of machine learning applications.
