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 environment with opportunities for growth and collaboration.
- 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 60000 - 80000 £ 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 employer: Intercom
Intercom is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and software engineering. With a focus on employee growth, the company offers competitive salaries, equity in a rapidly expanding start-up, and a collaborative environment where you can work closely with talented ML Scientists to create impactful AI solutions. Located in a vibrant tech hub, Intercom provides unique opportunities for professional development and meaningful contributions to cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI Product Engineer — Lead Real-World ML
✨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 sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and ML. This gives you a chance to demonstrate your analytical approach and technical prowess.
✨Tip Number 3
Prepare for the interview by brushing up on your collaboration skills. Since this role involves working closely with ML Scientists and product teams, be ready to discuss how you’ve successfully collaborated in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Staff AI Product Engineer — Lead Real-World ML
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 the Staff AI Product Engineer position. We love seeing candidates who understand our mission and can demonstrate how their background fits into our AI-powered products.
Collaborate in Your Writing:Since this role involves close collaboration with ML Scientists, it’s a good idea to mention any teamwork experiences you’ve had. We appreciate candidates who can communicate effectively and work well with others.
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 this exciting opportunity in our fast-growing start-up!
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 software engineering. This will show that you can hit the ground running in building and optimising AI-powered products.
✨Collaborate Like a Pro
Since the role involves close collaboration with ML Scientists and product teams, be prepared to share examples of how you've successfully worked in cross-functional teams. Highlight your communication skills and how you’ve contributed to team success in past roles.
✨Showcase Your Analytical Skills
Intercom is looking for candidates with a strong analytical approach. Prepare to discuss specific challenges you've faced in software development and how your analytical skills helped you solve them. Use metrics or outcomes to back up your claims.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about the current projects the AI Group is working on or how they measure the success of their AI solutions. This demonstrates your enthusiasm and helps you gauge if it’s the right fit for you.
