At a Glance
- Tasks: Lead the development of ML features and mentor engineers in a dynamic environment.
- Company: A top AI Customer Service company based in London.
- Benefits: Competitive salary and a flexible hybrid working policy.
- Why this job: Shape the future of customer experience with cutting-edge machine learning technology.
- Qualifications: 5-8 years of applied ML experience and strong programming skills.
The predicted salary is between 70000 - 90000 € per year.
A leading AI Customer Service company in London is seeking a Staff Machine Learning Scientist to drive the development and deployment of ML features. This role involves mentoring engineers, raising technical standards, and identifying impactful ML applications.
The ideal candidate has 5-8 years of applied ML experience and strong programming skills, as well as a background in a senior or staff role.
Benefits include a competitive salary and hybrid working policy.
Staff ML Scientist - Shape AI for Customer Experience in City of London employer: Intercom
As a leading AI Customer Service company based in London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With a strong focus on professional development, we offer ample opportunities for growth and mentorship, alongside a competitive salary and a flexible hybrid working policy that promotes work-life balance. Join us to be part of a dynamic team that is shaping the future of customer experience through cutting-edge machine learning technology.
StudySmarter Expert Advice🤫
We think this is how you could land Staff ML Scientist - Shape AI for Customer Experience in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your ML projects and be ready to discuss them in detail. We want to see how you’ve tackled real-world problems and what impact your work has had.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for ML roles. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Staff ML Scientist - Shape AI for Customer Experience in City of London
Some tips for your application 🫡
Show Off Your Experience:When you're writing your application, make sure to highlight your 5-8 years of applied ML experience. We want to see how you've driven the development and deployment of ML features in your previous roles!
Be Specific About Your Skills:Don’t just list your programming skills; give us examples of how you've used them in real projects. We love seeing candidates who can back up their claims with solid experiences!
Mentorship Matters:Since this role involves mentoring engineers, share any experiences you have in guiding others. We’re keen on candidates who can raise technical standards and foster a collaborative environment.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Intercom
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and applications. Be ready to discuss your past projects in detail, especially those that had a significant impact. This is your chance to showcase your 5-8 years of experience!
✨Show Off Your Mentoring Skills
Since the role involves mentoring engineers, think of examples where you've successfully guided others. Prepare to share how you raised technical standards in your previous roles. This will demonstrate your leadership capabilities.
✨Be Ready for Technical Questions
Expect some challenging technical questions during the interview. Practice coding problems and be prepared to explain your thought process. This will help you show off your strong programming skills and problem-solving abilities.
✨Understand Their Business
Research the company’s AI applications in customer service. Knowing how they use ML to enhance customer experience will help you align your answers with their goals. It shows you're genuinely interested in the role and can identify impactful ML applications.
