At a Glance
- Tasks: Lead the development of innovative machine learning solutions and mentor fellow engineers.
- Company: Join Intercom, a leader in AI-powered customer service solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team culture focused on innovation and rapid prototyping.
- Why this job: Make a real impact by transforming customer experiences with cutting-edge AI technology.
- Qualifications: Strong background in machine learning and experience in collaborative environments.
The predicted salary is between 28800 - 48000 £ per year.
Join to apply for the Staff Machine Learning Scientist role at Intercom. Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.
What’s the opportunity? Intercom’s Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team’s dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.
What will I be doing?
- Play an active role in hiring, mentoring and career development of other engineers
- Raise the bar for technical standards, performance, reliability, and operational excellence
- Identify areas where ML can create value for our customers
- Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders
- Conduct exploratory data analysis and research - Deeply understand the problem area
- Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed
- Perform offline evaluation to gather evidence an algorithm will work
- Work with engineers to bring prototypes to production
- Plan, measure
Staff Machine Learning Scientist 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.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Machine Learning Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Intercom. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your machine learning expertise. When you get the chance to chat with hiring managers, let your work speak for itself.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your algorithms and problem-solving skills. Mock interviews with friends or online platforms can really help you nail it.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’ve got some nifty AI tools to help you along the way, so don’t miss out!
We think you need these skills to ace Staff Machine Learning Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Staff Machine Learning Scientist role. Highlight your relevant experience and skills that align with the job description. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about machine learning and how your background makes you a perfect fit for Intercom. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Projects:If you've worked on any cool machine learning projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing practical applications of your skills. It helps us understand your hands-on experience.
Apply Through Our Website:We encourage you to apply through our website for the best experience. It’s straightforward and ensures your application gets to the right place. Plus, you’ll find all the info you need about the role and our company!
How to prepare for a job interview at Intercom
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals. Be ready to discuss algorithms, frameworks, and your past projects in detail. Intercom values innovation, so think about how you can apply cutting-edge techniques to real-world problems.
✨Show Your Team Spirit
Intercom is all about collaboration, so be prepared to talk about your experience working with cross-functional teams. Share examples of how you've partnered with product and design teams to deliver impactful solutions. Highlight your mentoring experiences too!
✨Prepare for Problem-Solving
Expect to tackle some technical challenges during the interview. Practice explaining your thought process when identifying ML opportunities and framing product problems. They’ll want to see how you approach exploratory data analysis and algorithm selection.
✨Demonstrate Customer Focus
Intercom is dedicated to enhancing customer experiences, so be ready to discuss how your work has positively impacted users. Think about specific metrics or feedback that showcase the value of your ML models and how they align with customer needs.
