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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 remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on user experience in a rapidly evolving tech landscape.
- Qualifications: 12+ years in engineering, strong coding skills in Go or JAVA, and cloud experience.
- Other info: Join a dynamic team and drive strategies that optimise user engagement.
The predicted salary is between 60000 - 84000 £ 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 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
✨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 open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to machine learning and recommendation systems. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills in Go or JAVA. Practice common algorithms and system design questions, as these are likely to come up in technical interviews for engineering roles.
✨Tip Number 4
Don’t forget to apply through our website! We often have exclusive listings and it’s a great way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Staff ML Engineer - Recommender Systems, Remote UK
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 mention those projects. We love seeing real-world applications of your skills, so include any relevant achievements that demonstrate your ability to optimise user engagement.
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 us you’re keen on joining our team!
How to prepare for a job interview at ShareChat
✨Know Your Tech Inside Out
Make sure you’re well-versed in Go or JAVA, as these are crucial for the role. Brush up on your coding skills and be ready to demonstrate your knowledge through practical examples or coding challenges during the interview.
✨Showcase Your Experience
With 12+ years of experience required, it’s essential to highlight your past projects, especially those involving recommendation systems. Prepare specific examples that showcase your engineering strategies and how they’ve optimised user engagement.
✨Understand Cloud Platforms
Since experience with cloud platforms is a must, make sure you can discuss your familiarity with them. Be prepared to talk about how you've used cloud technologies in previous roles to manage large-scale models effectively.
✨Emphasise Leadership Skills
As this role involves leading teams, be ready to discuss your leadership style and experiences. Share examples of how you’ve successfully led engineering teams and driven projects to completion, particularly in fast-paced environments.
