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, remote 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.
With millions of images and messages exchanged on our platform every day, there is a wealth of opportunity to make a real difference in this role and help people find love all over the world! 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 employer: Bumble
Bumble is an exceptional employer that fosters a collaborative and innovative work culture, particularly within our Trust & Safety team. As a Machine Learning Engineer (NLP), you will have the opportunity to work on cutting-edge technologies while contributing to a mission that prioritises healthy relationships. With a strong emphasis on professional growth, Bumble offers a dynamic environment where your contributions can make a significant impact, all while enjoying the vibrant atmosphere of our location.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (NLP) - Trust & Safety
✨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 machine learning.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your past projects and how they relate to Bumble's mission of creating safe and healthy relationships.
✨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 being part of the Bumble team and its mission.
We think you need these skills to ace Machine Learning Engineer (NLP) - Trust & Safety
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your NLP expertise and any relevant projects you've worked on, especially those involving transformers or LLMs.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about the role and how your background aligns with our mission at Bumble. Share specific examples of your work in machine learning and how it can contribute to creating safe and healthy relationships.
Showcase Your Projects:If you have any personal or professional projects related to NLP or machine learning, make sure to include them. We love seeing hands-on experience, so don’t hesitate to share links to your GitHub or any publications if you have them!
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 us you’re keen on joining our team!
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 your hands-on experience with text-based ML systems and how you've applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific projects where you've explored, developed, and deployed machine learning models. Highlight any large-scale experiments you've conducted and the impact they had on product development, as this will show your ability to drive results.
✨Collaboration is Key
Since you'll be working with cross-functional teams, think of examples that demonstrate your ability to collaborate with both technical and non-technical stakeholders. Share how you’ve communicated complex ideas effectively to ensure everyone is on the same page.
✨Stay Current and Curious
Bumble values a passion for learning, so be prepared to discuss the latest trends in Data Science and Machine Learning. Mention any recent research or conferences you've followed or participated in, as this shows your commitment to staying at the forefront of the field.
