At a Glance
- Tasks: Build and optimise AI-powered products while collaborating with ML Scientists.
- Company: Join a fast-growing start-up at the forefront of AI technology.
- Benefits: Competitive salary, equity, and a range of exciting benefits.
- Other info: Dynamic team environment with opportunities for growth and development.
- Why this job: Make a real impact in AI solutions and work on innovative projects.
- Qualifications: Extensive software engineering experience and strong analytical skills.
The predicted salary is between 70000 - 90000 £ per year.
Intercom is hiring Staff Product Engineers to join the AI Group responsible for building and optimizing Fin's AI-powered products. Candidates should have extensive experience in software engineering and a strong analytical approach. The role involves close collaboration with ML Scientists to deliver robust AI solutions efficiently.
Key responsibilities include:
- System building
- Collaboration with product teams
- Participation in software development phases
The position offers a competitive salary, equity in a fast-growing start-up, and a range of benefits.
Staff AI Product Engineer — Lead Real-World ML in London employer: Intercom
Intercom is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the AI Group. Employees benefit from competitive salaries, equity in a rapidly growing start-up, and ample opportunities for professional growth, making it an ideal environment for those passionate about advancing AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI Product Engineer — Lead Real-World ML in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those at Intercom. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI and ML. This is your chance to demonstrate your analytical approach and system-building expertise.
✨Tip Number 3
Prepare for the interview by brushing up on collaboration techniques. Since you'll be working closely with ML Scientists and product teams, being able to discuss how you’ve successfully collaborated in the past will set you apart.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Staff AI Product Engineer — Lead Real-World ML in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your extensive experience in software engineering. We want to see how your skills align with the role, so don’t hold back on showcasing your analytical approach and any relevant projects you've worked on.
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your background fits with building and optimising AI-powered products, and how you can collaborate effectively with ML Scientists and product teams.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read, so avoid jargon and focus on what makes you a great fit for the team.
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 you’re keen on joining our team!
How to prepare for a job interview at Intercom
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss how you've applied these in previous projects, especially in collaboration with ML scientists. This will show that you understand the technical side of the role.
✨Showcase Your Software Engineering Skills
Prepare to talk about your experience in software engineering. Have specific examples ready that demonstrate your analytical approach and problem-solving skills. Highlight any systems you've built or optimised, as this is crucial for the role.
✨Collaboration is Key
Since the role involves working closely with product teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to deliver projects on time and within scope.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the challenges they face in building AI products, and how they measure success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
