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- Tasks: Identify ML opportunities and collaborate on innovative AI products.
- Company: Leading tech company focused on AI with a dynamic team.
- Benefits: Competitive salary, flexible working, health insurance, and paid leave.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: 3-5 years of applied ML experience and strong communication skills.
- Other info: Hybrid work model with great career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A tech company specializing in AI is looking for a Machine Learning Engineer to join their Machine Learning team. The role involves identifying valuable ML opportunities, collaborating with product and design teams, and conducting exploratory data analysis.
Ideal candidates possess strong communication and statistical skills, with 3-5 years of applied ML experience.
The company offers competitive salaries, flexible working, and comprehensive benefits including health insurance and paid leave.
Senior ML Scientist - Ship AI Products, Hybrid Work employer: Intercom
Contact Detail:
Intercom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Scientist - Ship AI Products, Hybrid Work
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space on LinkedIn or at industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those that align with the company's focus. This gives you a chance to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex ML concepts in simple terms, as you'll need to collaborate with product and design teams effectively.
✨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 are proactive about their job search!
We think you need these skills to ace Senior ML Scientist - Ship AI Products, Hybrid Work
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your 3-5 years of applied ML experience!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our team. Remember, we love strong communication skills, so let your personality come through.
Showcase Your Projects: If you've worked on any interesting ML projects, make sure to mention them! We’re keen to see your hands-on experience, so include links or descriptions that demonstrate your expertise and creativity.
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 machine learning concepts and techniques. Be ready to discuss your past projects, the algorithms you used, and the outcomes. This is your chance to showcase your 3-5 years of applied ML experience!
✨Collaborate Like a Pro
Since the role involves working with product and design teams, be prepared to talk about how you've successfully collaborated in the past. Share specific examples where your communication skills made a difference in a project.
✨Data Analysis is Key
Get comfortable with exploratory data analysis. You might be asked to analyse a dataset during the interview, so practice explaining your thought process clearly. Highlight any tools or techniques you’ve used to derive insights from data.
✨Ask Smart Questions
Prepare thoughtful questions about the company’s AI products and their vision for the future. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Plus, it’s a great way to engage with your interviewers!
