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- Tasks: Drive innovation in search and recommendations using advanced machine learning techniques.
- Company: Join Roku, the leading TV streaming platform transforming how the world watches TV.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on millions of users while working with cutting-edge technology.
- Qualifications: 8+ years in machine learning or a PhD with 6 years; strong coding and problem-solving skills.
- Other info: Collaborative environment with excellent career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Teamwork makes the stream work. Roku is changing how the world watches TV. Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team: Roku is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ million active accounts. Roku continues to innovate and lead the industry. We believe Roku’s continued success relies on its investment in our machine learning/ML recommendation engine. Roku enables our users to access millions of contents including movies, episodes, news, sports, music and channels from all around the world.
About the role: The depth of query, content and user understanding using ML is key to user happiness in their search journey. Solving this customer problem is why we're actively looking for a Senior Machine Learning Engineer, Search & Recommendations to drive further innovation in search and discovery. The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best of class AI powered products. Hence, communication and presentation skills are important. The role requires both high technical acumen and problem-solving abilities, motivation, and exceptional attention to detail. Every day, you'll look at what exists and find ways to make it better.
What you'll be doing:
- Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimisations to make our users more delighted and engaged on the platform.
- Run online AB tests and analyse them against the critical business KPIs.
- Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications.
- Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts.
- Provide technical leadership to drive technical and ML roadmap for search ranking and monetisation.
- Help in recruiting new engineers. Interview, train, and mentor new team members.
We're excited if you have:
- 8+ years of experience (or PhD with 6 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads.
- Strong CS fundamentals. Should be able to convert ideas to code with ease.
- Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plus.
- Experience with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python).
- Good understanding of system architecture. Have experience in big data technologies and streaming architecture, data pipelines, etc.
- MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred.
Our Hybrid Work Approach: Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Accommodations: Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to.
Senior Machine Learning 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 Machine Learning Engineer, Search & Recommendations in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current or former Roku employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the technical interview by brushing up on your ML fundamentals. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 3
Show off your passion for machine learning and streaming tech during interviews. Share your thoughts on industry trends and how you can contribute to Roku's mission. It’s all about making that connection!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Roku team.
We think you need these skills to ace Senior Machine Learning Engineer, Search & Recommendations in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Engineer role. Highlight your experience with ML techniques and any relevant projects that showcase your skills in search and recommendations.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about Roku's mission and how your background aligns with the role. Be sure to mention specific technologies or methodologies you've worked with.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate them! Include examples of how you've tackled complex problems in previous roles, especially those related to machine learning and data analysis.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into the process. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Roku, Inc.
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially in areas like classification, deep neural networks, and sequence-based models. Be ready to discuss how you've applied these concepts in real-world scenarios, as this will show your depth of knowledge and practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you approached solving them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical thinking and technical acumen.
✨Familiarise Yourself with Roku's Ecosystem
Research Roku’s current products and services, particularly their search and recommendation systems. Understanding their business model and how machine learning fits into it will help you tailor your responses and demonstrate your genuine interest in the role.
✨Practice Communication and Presentation
Since communication skills are crucial for this role, practice explaining complex technical concepts in simple terms. You might be asked to present your ideas or past projects, so being clear and engaging will set you apart from other candidates.
