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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 through advanced machine learning.
- 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 in London 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 in London
✨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 maybe even a referral, which can really boost your chances.
✨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 set you apart from the crowd.
✨Tip Number 3
Ace the interview! Research common ML engineering interview questions and practice your answers. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to apply directly!
We think you need these skills to ace Senior ML Engineer, Recommendations — End-to-End Real-Time ML in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your engineering skills and experience with production ML systems. We want to see how your background aligns with the role, so don’t hold back on showcasing your achievements!
Tailor Your Application: Take a moment to customise your application for the Senior ML Engineer position. Mention specific projects or experiences that relate to user personalisation and satisfaction, as this is key for us at SoundCloud.
Be Yourself: We value diversity and inclusion, so let your personality shine through in your application. Share your passion for machine learning and how you can contribute to our team culture!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at SoundCloud
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around recommendations and LLMs. Be ready to discuss your past projects in detail, focusing on the challenges you faced and how you overcame them.
✨Show Off Your Engineering Skills
Since this role requires strong engineering skills, prepare to talk about your software engineering experience. Bring examples of code you've written or systems you've built, and be ready to explain your thought process behind them.
✨Understand SoundCloud's User Base
Do some research on SoundCloud and its users. Think about how you can enhance user personalization and satisfaction through ML. This will show that you're not just technically skilled but also understand the business side of things.
✨Ask Thoughtful Questions
Prepare a few insightful questions to ask during the interview. This could be about their current ML systems, team dynamics, or future projects. It shows your genuine interest in the role and helps you gauge if it's the right fit for you.