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- Tasks: Lead engineering efforts on personalization models and enhance user engagement.
- Company: A leading social media platform with a focus on innovation.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Work on cutting-edge technology and make a real impact in the social media space.
- Qualifications: 8+ years of experience, strong coding skills in Go or Java, and machine learning knowledge.
- Other info: Join a talented team in a dynamic and innovative environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading social media platform is seeking an experienced Staff Engineer in London to lead engineering efforts on personalization models. The ideal candidate has over 8 years of industry experience, strong coding skills in Go or Java, and a solid understanding of machine learning.
This role involves driving the engineering roadmap for feed ranking and candidate generation systems, enhancing user retention and engagement while managing server costs. The position offers flexibility and is a great opportunity to work on cutting-edge technology with a talented team.
Staff Software Engineer - Recommender Systems (Remote) employer: ShareChat
Contact Detail:
ShareChat Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer - Recommender Systems (Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at the company you're eyeing. A friendly chat can sometimes lead to a referral, which is a golden ticket in landing that interview.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your coding prowess in Go or Java, make sure to share it. It’s a great way to demonstrate your experience and passion for software engineering.
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning knowledge. We recommend practising coding challenges and system design questions that relate to feed ranking and recommendation systems. This will help you shine during the interview!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Staff Software Engineer - Recommender Systems (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in coding with Go or Java, and any relevant machine learning projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about personalisation models and how your background makes you a perfect fit for our team. Keep it engaging and to the point.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex engineering challenges. We love seeing how you approach problems, especially in areas like feed ranking and candidate generation systems.
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. Plus, it’s super easy!
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 prepared to discuss your past projects and how you've applied machine learning in real-world scenarios. The more you can demonstrate your technical expertise, the better!
✨Understand Personalisation Models
Since this role focuses on personalisation models, take some time to research the latest trends and technologies in recommender systems. Be ready to share your insights and ideas on how to enhance user retention and engagement through effective feed ranking.
✨Showcase Your Leadership Skills
As a Staff Engineer, you'll be leading engineering efforts. Prepare examples of how you've successfully led teams or projects in the past. Highlight your ability to drive an engineering roadmap and manage resources effectively.
✨Ask Thoughtful Questions
Interviews are a two-way street! Prepare some insightful questions about the company's approach to server cost management and their vision for future developments in personalisation technology. This shows your genuine interest and helps you assess if it's the right fit for you.
