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- Tasks: Enhance search and recommendations systems using cutting-edge machine learning techniques.
- Company: Leading streaming technology company in Cambridge with a collaborative culture.
- Benefits: Competitive salary, health benefits, and a supportive work environment.
- Why this job: Join a team driving innovation in streaming technology and make a real impact.
- Qualifications: Over 8 years of experience in machine learning and strong computer science foundation.
- Other info: Dynamic role with opportunities for professional growth and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
A leading streaming technology company in Cambridge is seeking a Senior Machine Learning Engineer to enhance their search and recommendations systems. The ideal candidate will have over 8 years of experience in machine learning and a strong foundation in computer science. This role involves applying state-of-the-art ML techniques, running AB tests, and collaborating with cross-functional teams to drive innovation. The company promotes a collaborative work environment and offers competitive benefits.
Senior ML Engineer, Search & Discovery in Cambridge employer: Roku
Contact Detail:
Roku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer, Search & Discovery in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at the company you're eyeing. A friendly chat can sometimes open doors that a CV can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your machine learning expertise. When you get that interview, having something tangible to discuss can really set you apart.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your ML concepts and coding skills. Mock interviews with friends or using online platforms can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Engineer, Search & Discovery in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and computer science. 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 passionate about enhancing search and recommendations systems. Let us know how your background makes you the perfect fit for our collaborative environment.
Showcase Your Technical Skills: Since this role involves applying state-of-the-art ML techniques, make sure to mention specific tools and technologies you’ve worked with. We love seeing candidates who are up-to-date with the latest trends in machine learning!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Roku
✨Know Your ML Techniques
Brush up on the latest machine learning techniques relevant to search and recommendations. Be ready to discuss how you've applied these in past projects, especially any state-of-the-art methods you've used.
✨Prepare for AB Testing Questions
Since this role involves running AB tests, make sure you can explain your approach to designing and analysing these tests. Have examples ready that showcase your ability to derive insights from data.
✨Showcase Collaboration Skills
This company values a collaborative work environment, so be prepared to discuss how you've worked with cross-functional teams in the past. Highlight specific instances where your teamwork led to successful outcomes.
✨Research the Company Culture
Familiarise yourself with the company's culture and values. Understanding their focus on innovation and collaboration will help you tailor your responses and show that you're a great fit for their team.
