At a Glance
- Tasks: Build and deploy ML systems to ensure content safety for Spotify users.
- Company: Join Deepstreamtech, a leading tech company in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for mentorship.
- Other info: Collaborative environment with significant influence on product direction.
- Why this job: Make a real impact on user safety while advancing your ML skills.
- Qualifications: Strong ML deployment experience and proficiency in PyTorch required.
The predicted salary is between 70000 - 90000 € per year.
Deepstreamtech in Greater London is seeking a machine learning expert to join the Policy & Safety team. This role focuses on building production-grade ML systems that ensure content safety for Spotify users.
The successful candidate will have strong experience with ML deployment, proficiency in frameworks like PyTorch, and the ability to lead technical initiatives. You will collaborate with cross-functional teams on compliance and contribute to ML strategy. The role offers significant influence in product direction and engineering mentorship.
Senior ML Engineer, Safety & Policy Systems in London employer: Deepstreamtech
Deepstreamtech is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from extensive growth opportunities, including mentorship from experienced engineers and the chance to influence product direction significantly. With a focus on meaningful projects that enhance user safety, Deepstreamtech provides a rewarding environment for those passionate about machine learning and its impact on technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer, Safety & Policy Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Deepstreamtech or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving PyTorch. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML deployment knowledge. Be ready to discuss your past experiences and how you've tackled challenges in building production-grade systems.
✨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 Senior ML Engineer, Safety & Policy Systems in London
Some tips for your application 🫡
Show Off Your ML Skills:Make sure to highlight your experience with machine learning, especially in deployment and frameworks like PyTorch. We want to see how you've tackled similar challenges in the past!
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect how your skills align with our focus on content safety and compliance. We love seeing candidates who take the time to connect their experience with our mission.
Be a Team Player:Since this role involves collaboration with cross-functional teams, share examples of how you’ve worked effectively with others. We value teamwork and want to know how you can contribute to our Policy & Safety team.
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 you’re keen on joining our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your ML Frameworks
Make sure you brush up on your knowledge of PyTorch and any other relevant frameworks. Be ready to discuss your past experiences with deploying ML systems, as this will show your technical expertise and readiness for the role.
✨Showcase Your Leadership Skills
Since the role involves leading technical initiatives, prepare examples of how you've successfully led projects or teams in the past. Highlight your ability to mentor others and drive collaboration within cross-functional teams.
✨Understand Content Safety
Familiarise yourself with content safety issues, especially in relation to platforms like Spotify. Be prepared to discuss how your work can contribute to ensuring user safety and compliance, as this is a key focus for the team.
✨Prepare Questions About Strategy
Think about the broader ML strategy at Deepstreamtech. Prepare insightful questions that demonstrate your interest in the company's direction and how you can contribute to shaping it. This shows you're not just focused on the technical side but also on the bigger picture.
