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- Tasks: Develop cutting-edge ML systems to enhance user experience and personalisation.
- Company: Join SoundCloud, a leader in music streaming with a focus on innovation.
- Benefits: Enjoy relocation support, flexible vacation, and wellness benefits.
- Other info: Be part of a diverse team in a supportive and inclusive environment.
- Why this job: Make a real impact on user satisfaction with advanced ML technologies.
- Qualifications: 1-2+ years in production ML systems and 4+ years in software engineering.
The predicted salary is between 70000 - 90000 £ per year.
SoundCloud is seeking a Senior Machine Learning Engineer for their Recommendations Experience team in Greater London. This role involves developing ML and LLM-based systems to enhance user personalization and satisfaction.
Candidates should possess strong engineering skills with 1–2+ years in production ML systems and 4+ years of software engineering experience.
The position offers relocation support, flexible vacation policy, and various wellness benefits to foster a diverse and inclusive work environment.
Senior ML Engineer, Recommendations — End-to-End Real-Time ML employer: SoundCloud
Contact Detail:
SoundCloud Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer, Recommendations — End-to-End Real-Time ML
✨Tip Number 1
Network like a pro! Reach out to current or former employees at SoundCloud on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best ML projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical interview skills by doing mock interviews with friends or using online platforms. Focus on ML concepts and coding challenges relevant to the role.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on the SoundCloud careers page. It’s the best way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior ML Engineer, Recommendations — End-to-End Real-Time ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in production ML systems and software engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing user personalization and how your background makes you a great fit for our team at SoundCloud.
Showcase Your Projects: If you've worked on any interesting ML or LLM-based projects, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions that demonstrate your expertise.
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 SoundCloud
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to recommendations and personalisation. Be ready to discuss your experience with production ML systems and any specific projects you've worked on that showcase your skills.
✨Show Off Your Engineering Skills
Since the role requires strong engineering skills, prepare to talk about your software engineering background. Highlight any relevant programming languages or frameworks you've used, and be ready to solve coding problems on the spot.
✨Understand SoundCloud's Vision
Do a bit of homework on SoundCloud and their Recommendations Experience team. Familiarise yourself with their products and how they use ML to enhance user satisfaction. This will show your genuine interest in the company and the role.
✨Ask Thoughtful Questions
Prepare some insightful questions to ask during the interview. This could be about their current ML projects, team dynamics, or how they measure success in user personalisation. It shows you're engaged and thinking critically about the role.