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- Tasks: Design scalable AI systems and oversee the model development lifecycle.
- Company: Leading streaming technology company in Cambridge with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of media with generative AI.
- Qualifications: Master's or PhD in a relevant field and strong applied machine learning skills.
- Other info: Fast-paced environment that values collaboration and creativity.
The predicted salary is between 42000 - 84000 £ per year.
A leading streaming technology company in Cambridge seeks a Senior Applied Machine Learning Engineer. The role involves designing scalable AI systems, overseeing the entire model development lifecycle, and collaborating with product teams.
The ideal candidate should have a Master's or PhD in a relevant field, with strong skills in applied machine learning and experience in cloud platforms like AWS or Azure. A commitment to innovation and collaboration is essential in this fast-paced environment.
Senior Applied ML Engineer - Generative AI for Media in Cambridge employer: Roku, Inc.
Contact Detail:
Roku, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied ML Engineer - Generative AI for Media in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at companies you're eyeing. 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 projects, especially those related to applied machine learning. This is your chance to demonstrate your expertise and passion for generative AI.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common algorithms and be ready to discuss your past projects in detail. We want you to shine!
✨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 Applied ML Engineer - Generative AI for Media in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in applied machine learning and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about generative AI and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills: Don’t forget to mention your experience with cloud platforms like AWS or Azure. We’re looking for someone who can hit the ground running, so highlight any relevant tools and technologies you’ve mastered.
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 to join our team!
How to prepare for a job interview at Roku, Inc.
✨Know Your Stuff
Make sure you brush up on your applied machine learning concepts and be ready to discuss your previous projects. Be prepared to explain how you've designed scalable AI systems and the specific challenges you faced during the model development lifecycle.
✨Cloud Platforms are Key
Since experience with cloud platforms like AWS or Azure is crucial, ensure you can talk about your hands-on experience with these technologies. Have examples ready that showcase how you've leveraged these platforms in your past work.
✨Collaboration is Crucial
This role emphasises collaboration with product teams, so be ready to share examples of how you've successfully worked in cross-functional teams. Highlight your communication skills and how you’ve contributed to a team’s success in a fast-paced environment.
✨Show Your Innovative Side
Innovation is key in this role, so think of instances where you've introduced new ideas or approaches in your work. Be prepared to discuss how you stay updated with the latest trends in generative AI and how you can bring that knowledge to the company.