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- Tasks: Enhance search and recommendation systems using advanced machine learning techniques.
- Company: Global streaming platform with a focus on innovation and inclusivity.
- Benefits: Hybrid work model, flexible remote Fridays, and a supportive team culture.
- Why this job: Join a leading platform and shape the future of content discovery.
- Qualifications: Ph.D. or 8+ years in machine learning with strong collaboration skills.
- Other info: Dynamic role with opportunities for professional growth and impact.
The predicted salary is between 48000 - 72000 £ per year.
A global streaming platform is seeking a Senior Machine Learning Engineer to enhance their search and recommendation system. This role requires extensive experience in machine learning and the ability to collaborate with engineering teams. The ideal candidate holds a Ph.D. or has 8+ years of relevant experience. The position is hybrid, promoting an inclusive environment while allowing for flexible remote work on Fridays.
Senior ML Engineer, Search & Recommendations in Cambridge employer: Roku, Inc.
Contact Detail:
Roku, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer, Search & Recommendations in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your machine learning projects. This is your chance to demonstrate your expertise in search and recommendations.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on algorithms and ML concepts. We recommend mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior ML Engineer, Search & Recommendations in Cambridge
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your extensive experience in machine learning. We want to see how your background aligns with the role, so don’t hold back on those impressive projects or research you've done!
Collaborate Like a Pro: Since this role involves working closely with engineering teams, share examples of past collaborations. We love to see how you’ve worked with others to achieve great results, so let us know about your teamwork skills!
Tailor Your Application: Don’t just send a generic application! We appreciate when candidates tailor their CV and cover letter to reflect the specific requirements of the Senior ML Engineer position. Show us why you’re the perfect fit for our team!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Roku, Inc.
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to search and recommendation systems. Be ready to discuss algorithms, frameworks, and any relevant projects you've worked on. This is your chance to show off your expertise!
✨Collaborate Like a Pro
Since the role involves working with engineering teams, be prepared to talk about your collaboration experiences. Share specific examples of how you've successfully worked in teams, tackled challenges, and contributed to projects. Highlighting your teamwork skills can set you apart.
✨Ask Smart Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's current search and recommendation systems, their future goals, and how they foster an inclusive environment. This shows your genuine interest and helps you assess if it's the right fit for you.
✨Flexibility is Key
Since the position is hybrid, be ready to discuss how you manage your time and productivity while working remotely. Share strategies that have worked for you in the past, especially on Fridays when remote work is encouraged. This will demonstrate your adaptability and commitment to the role.
