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- Tasks: Lead the development of personalised recommendation systems for millions of users.
- Company: A top social media company with a focus on innovation and user engagement.
- Benefits: Flexible work environment and opportunities to innovate in machine learning.
- Why this job: Make a real impact on user experience for over 300 million people.
- Qualifications: 12+ years in engineering, strong coding skills in Go or JAVA, cloud experience.
- Other info: Join a dynamic team and drive strategies in a rapidly evolving field.
The predicted salary is between 48000 - 72000 £ per year.
A leading social media company is looking for a Staff Engineer to lead efforts in personalizing recommendation systems for over 300 million users. This role demands 12+ years of experience in engineering and machine learning best practices, strong coding skills in Go or JAVA, and experience with cloud platforms.
You will drive engineering strategies and lead teams to optimize user engagement while managing large-scale models. Enjoy a flexible work environment and a chance to innovate in the rapidly evolving field of recommendation systems.
Senior Staff ML Engineer - Recommender Systems, Remote UK in London employer: ShareChat
Contact Detail:
ShareChat Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Staff ML Engineer - Recommender Systems, Remote UK in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at companies you're interested in. A friendly chat can sometimes lead to job 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 recommendation systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios specific to machine learning and engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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 Staff ML Engineer - Recommender Systems, Remote UK in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in engineering and machine learning, especially with recommendation systems. We want to see how your skills align with the role, so don’t be shy about showcasing your coding prowess in Go or JAVA!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about personalising recommendation systems and how your 12+ years of experience can drive our engineering strategies. Let us know what excites you about this role!
Showcase Your Projects: If you've worked on large-scale models or cloud platforms, make sure to include those projects in your application. We love seeing real-world examples of your work, so share any relevant achievements that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at ShareChat
✨Know Your Tech Inside Out
Make sure you brush up on your coding skills in Go or JAVA. Be ready to discuss your past projects and how you've applied machine learning best practices. They’ll want to see that you can not only code but also understand the underlying principles of recommendation systems.
✨Showcase Your Leadership Skills
Since this role involves leading teams, be prepared to share examples of how you've successfully managed projects and driven engineering strategies in the past. Highlight your experience in optimising user engagement and how you’ve tackled challenges in large-scale models.
✨Familiarise Yourself with Cloud Platforms
As cloud platforms are crucial for this position, make sure you’re well-versed in the ones you’ve worked with. Be ready to discuss how you’ve leveraged these platforms to enhance performance and scalability in your previous roles.
✨Prepare Questions That Matter
Think about what you want to know about the company and the team. Ask insightful questions about their current projects in recommendation systems and how they measure success. This shows your genuine interest and helps you assess if it’s the right fit for you.
