At a Glance
- Tasks: Join Bumble's Trust & Safety team to develop cutting-edge NLP models for a safer user experience.
- Company: Bumble, a leading tech company focused on healthy relationships.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to publish research and grow your career.
- Why this job: Make a real impact in the world of relationships while working with innovative technologies.
- Qualifications: Advanced degree in a quantitative field and experience in NLP model development.
The predicted salary is between 60000 - 80000 £ per year.
Bumble is looking for a Machine Learning Engineer (NLP) to join our Trust & Safety team and play a key role in fulfilling our mission to create a world where all relationships are healthy and equitable. We are looking for talents with a deep understanding of NLP algorithms (Transformers, LLMs, etc) and rich hands-on experience in building text-based ML 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 NLP), and a passion for tech.
WHAT YOU WILL BE DOING
- Work in a cross-functional team alongside data scientists, machine learning engineers, and both technical and non-technical stakeholders.
- Explore, develop and deliver new cutting-edge solutions for text-based ML, leveraging technologies like transformers, LLMs, etc.
- Set up and conduct large-scale experiments to test hypotheses and drive product development.
- Working with our MLOps Core K8s platform directly to efficiently serve models at a global scale.
- Deploy models, and lead their continuous monitoring & improvement.
- 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.
- Experience in designing, developing, and training NLP models.
- Experience with Kubernetes.
- Understanding of software development life cycle processes and tools - ETL pipelines, CI/CD, testing frameworks.
- Strong statistical modelling skills - hypotheses testing, inference, regressions, random variables, etc.
- The ability to work collaboratively alongside scientists, engineers and non-technical stakeholders.
- Passion for keeping up with the latest ongoings in Data Science and Machine Learning communities.
- A curious mind, who is a 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.
Machine Learning Engineer (NLP) - Trust & Safety in London employer: Bumble
At Bumble, we pride ourselves on being an exceptional employer that fosters a vibrant and inclusive work culture. Our team thrives on creativity and collaboration, offering ample opportunities for professional growth in the rapidly evolving field of AI and Machine Learning. Located in a dynamic environment, we empower our employees to innovate and make a meaningful impact on how people connect, all while enjoying the benefits of a supportive and agile workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (NLP) - Trust & Safety 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 a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your NLP projects, especially those using transformers and LLMs. This is your chance to demonstrate your hands-on experience and passion for tech.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical modelling skills and understanding of MLOps. Be ready to discuss how you've tackled challenges in previous projects and how you can contribute to Bumble's mission.
✨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 joining the team and making a difference in the Trust & Safety space.
We think you need these skills to ace Machine Learning Engineer (NLP) - Trust & Safety in London
Some tips for your application 🫡
Show Off Your NLP Skills:Make sure to highlight your experience with NLP algorithms like Transformers and LLMs in your application. We want to see how you've used these technologies in real-world projects, so don’t hold back on the details!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements of the Machine Learning Engineer role. Use keywords from the job description to show us you understand what we're looking for and how you fit the bill.
Demonstrate Your Collaborative Spirit:Since you'll be working with a cross-functional team, share examples of how you've successfully collaborated with both technical and non-technical stakeholders in the past. We love seeing teamwork in action!
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 this exciting opportunity to make a difference at Bumble!
How to prepare for a job interview at Bumble
✨Know Your NLP Stuff
Make sure you brush up on your knowledge of NLP algorithms, especially Transformers and LLMs. Be ready to discuss how you've applied these technologies in your previous projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Hands-On Experience
Prepare to talk about specific text-based ML systems you've built. Highlight your role in the development process, the tools you used (like Kubernetes), and the impact your work had on the project or team.
✨Collaborate Like a Pro
Since you'll be working with cross-functional teams, think of examples where you've successfully collaborated with both technical and non-technical stakeholders. Emphasise your communication skills and how you bridge gaps between different team members.
✨Stay Current and Curious
Demonstrate your passion for the field by discussing recent trends or research in Data Science and Machine Learning. Mention any conferences you've attended or papers you've read, and how they might influence your work at Bumble.
