At a Glance
- Tasks: Build innovative machine learning infrastructure and collaborate with diverse teams.
- Company: Join Roku, a leader in AdTech with a focus on innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
- Other info: Dynamic team environment with a focus on teamwork and creativity.
- Why this job: Make an impact in the AdTech space with cutting-edge machine learning technology.
- Qualifications: Strong background in machine learning, software development, and data analysis required.
The predicted salary is between 60000 - 80000 £ per year.
Roku, Inc. is seeking experienced engineers to join their Ad Performance team. The role involves building cutting-edge machine learning infrastructure and collaborating with cross-functional teams.
Candidates should have a strong background in machine learning, software development, and data analysis. A Bachelor's, Master's, or PhD in a relevant field is essential.
This position offers a hybrid work approach, emphasizing teamwork and innovation.
Senior ML Engineer, AdTech Platform & Real-Time Serving in Cambridge employer: Roku, Inc.
Roku, Inc. is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Senior ML Engineers to thrive. With a hybrid work model, employees enjoy flexibility while working on cutting-edge machine learning projects that drive the future of AdTech. The company prioritises professional growth, offering ample opportunities for skill development and career advancement in a dynamic and supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer, AdTech Platform & Real-Time Serving in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the AdTech space, especially those at Roku. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your machine learning projects. This is your chance to demonstrate your expertise beyond what's on your CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and understanding of real-time serving systems. We want you to feel confident and ready to tackle any question they throw your way!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior ML Engineer, AdTech Platform & Real-Time Serving in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and software development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior ML Engineer position and how your background makes you a perfect fit for our Ad Performance team. Keep it engaging and personal!
Showcase Your Teamwork Skills:Since this role emphasises collaboration, make sure to mention any experiences where you’ve worked in cross-functional teams. We love seeing how you can contribute to a team environment while driving innovation!
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 – just follow the prompts!
How to prepare for a job interview at Roku, Inc.
✨Know Your ML Fundamentals
Brush up on your machine learning concepts and algorithms. Be ready to discuss your experience with different models and how you've applied them in real-world scenarios, especially in AdTech.
✨Showcase Your Software Skills
Prepare to talk about your software development experience. Highlight specific projects where you built or improved ML infrastructure, and be ready to explain your coding choices and the impact they had.
✨Data Analysis is Key
Since data analysis is crucial for this role, come prepared with examples of how you've used data to drive decisions. Discuss any tools or techniques you’ve employed to analyse data effectively.
✨Emphasise Team Collaboration
Roku values teamwork, so be ready to share experiences where you collaborated with cross-functional teams. Highlight how you communicated complex ML concepts to non-technical stakeholders and contributed to a team’s success.
