Senior Machine Learning Scientist — Production AI for CX

Senior Machine Learning Scientist — Production AI for CX

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Identify ML opportunities and turn prototypes into production-ready solutions.
  • Company: Join Intercom, a leader in innovative customer experience technology.
  • Benefits: Enjoy a competitive salary, pension scheme, and comprehensive health insurance.
  • Other info: Flexible hybrid working policy with in-office collaboration three days a week.
  • Why this job: Make a real impact by creating exceptional ML products with a talented team.
  • Qualifications: Strong applied machine learning background and excellent communication skills.

The predicted salary is between 60000 - 80000 £ per year.

Intercom is looking for a Machine Learning Engineer to identify valuable ML opportunities and bring prototypes into production. The ideal candidate should have a strong applied machine learning background, solid statistical knowledge, and excellent communication skills. You'll work closely with product and design teams to create exceptional ML products.

Our hybrid working policy allows for flexibility, and we expect in-office collaboration at least three days a week. Benefits include competitive salary, pension scheme, and comprehensive health insurance.

Senior Machine Learning Scientist — Production AI for CX employer: Intercom

Intercom is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to engage with C-level executives, making your role impactful and rewarding. The hybrid work model provides the flexibility needed to balance professional and personal commitments, ensuring a fulfilling work-life experience.

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Contact Details:

Intercom Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Machine Learning Scientist — Production AI for CX

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. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.

Tip Number 3

Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects in detail. Practising common interview questions can help you feel more confident when it’s time to shine.

Tip Number 4

Don’t forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining us. Plus, it gives you a better chance to stand out in the hiring process.

We think you need these skills to ace Senior Machine Learning Scientist — Production AI for CX

Applied Machine Learning
Statistical Knowledge
Communication Skills
Prototyping
Collaboration
Product Development
Design Team Interaction

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your applied machine learning experience in your application. We want to see how you've tackled real-world problems and what tools you've used to bring your prototypes to life.

Communicate Clearly:Since excellent communication is key for this role, ensure your written application is clear and concise. We love candidates who can explain complex concepts in a way that everyone can understand.

Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your experience aligns with the job description. We appreciate when candidates show they’ve done their homework.

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’s super easy!

How to prepare for a job interview at Intercom

Know Your ML Stuff

Make sure you brush up on your applied machine learning concepts. Be ready to discuss your past projects and how you've turned prototypes into production-ready solutions. Highlight your statistical knowledge and be prepared to explain complex ideas in simple terms.

Show Off Your Communication Skills

Since you'll be collaborating with product and design teams, it's crucial to demonstrate your ability to communicate effectively. Practice explaining your work and thought processes clearly, as this will show that you can bridge the gap between technical and non-technical team members.

Research Intercom's Products

Familiarise yourself with Intercom's existing products and think about how your skills can enhance their offerings. This shows genuine interest and allows you to suggest specific ML opportunities during the interview, making you stand out as a candidate who’s proactive and engaged.

Prepare for Hybrid Work Questions

With a hybrid working policy in place, be ready to discuss how you manage your time and productivity in both remote and in-office settings. Share examples of how you've successfully collaborated with teams in different environments to reassure them of your adaptability.