Senior Machine Learning Engineer, Search in Cambridge

Senior Machine Learning Engineer, Search in Cambridge

Cambridge Full-Time 48000 - 84000 Β£ / year (est.) No working from home possible
Roku

At a Glance

  • Tasks: Drive innovation in search and recommendations using cutting-edge machine learning techniques.
  • Company: Join Roku, the leading TV streaming platform transforming how the world watches TV.
  • Benefits: Enjoy comprehensive benefits including mental health support, flexible time off, and retirement options.
  • Other info: Opportunity to mentor new engineers and shape the future of TV streaming.
  • Why this job: Be part of a fast-paced, collaborative culture that values problem-solving and innovation.
  • Qualifications: 8+ years of ML experience or PhD with 6 years; strong coding and big data skills required.

The predicted salary is between 48000 - 84000 Β£ 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+ millions of active accounts. Roku pioneered streaming to the TV and 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 covert 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
  • We\'d love to see that you\'ve worked 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
  • #LI-MS3
    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.

    Benefits

    Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It\'s important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

    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

    The Roku Culture

    Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company\'s success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We\'re independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you\'ll be part of a company that\'s changing how the world watches TV.

    We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn\'t real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.

    To learn more about Roku, our global footprint, and how we\'ve grown, visit

    By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku\'s Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing

    Senior Machine Learning Engineer, Search in Cambridge employer: Roku

    Roku is an exceptional employer that fosters a dynamic and collaborative work environment, where every team member plays a crucial role in shaping the future of TV streaming. With a commitment to employee growth, we offer comprehensive benefits including mental health support, flexible time off, and opportunities for professional development, all while working alongside talented individuals who share a passion for innovation. Join us in our mission to revolutionise how the world watches TV, and be part of a culture that values problem-solving, creativity, and teamwork.

    Roku

    Contact Details:

    Roku Recruitment Team

    StudySmarter Expert Advice🀫

    We think this is how you could land Senior Machine Learning Engineer, Search in Cambridge

    ✨Tip Number 1

    Familiarise yourself with Roku's mission and values. Understanding how they connect consumers to content will help you align your answers during interviews, showcasing your enthusiasm for their goals.

    ✨Tip Number 2

    Brush up on the latest trends in machine learning, especially in search and recommendations. Being able to discuss recent advancements or case studies can demonstrate your passion and expertise in the field.

    ✨Tip Number 3

    Network with current or former Roku employees on platforms like LinkedIn. They can provide insights into the company culture and the specific challenges faced by the team, which can be invaluable during your interview.

    ✨Tip Number 4

    Prepare to discuss your experience with big data technologies and how you've applied machine learning in real-world scenarios. Be ready to share specific examples that highlight your problem-solving skills and technical acumen.

    We think you need these skills to ace Senior Machine Learning Engineer, Search in Cambridge

    Machine Learning Expertise
    Deep Learning Techniques
    Natural Language Processing (NLP)
    Big Data Technologies (Spark, S3, Airflow)
    Programming Skills (Java, Scala, Python)
    Statistical Analysis
    Data Pipeline Development

    Some tips for your application 🫑

    Tailor Your CV:Make sure your CV highlights relevant experience in machine learning, particularly in search and recommendations. Use specific examples of projects where you've applied deep learning, AB testing, or worked with big data systems.

    Craft a Compelling Cover Letter:In your cover letter, express your passion for the role and the company. Discuss how your skills align with Roku's mission and the specific requirements of the Senior Machine Learning Engineer position. Mention any relevant achievements that demonstrate your problem-solving abilities.

    Showcase Technical Skills:Clearly outline your technical skills in your application. Include programming languages you are proficient in (like Java, Scala, or Python) and any experience with machine learning frameworks or big data technologies. This will help demonstrate your fit for the role.

    Highlight Collaboration Experience:Since the role involves working with cross-functional teams, emphasise any past experiences where you've successfully collaborated with others. This could include teamwork on projects, mentoring new team members, or leading initiatives that required input from various stakeholders.

    How to prepare for a job interview at Roku

    ✨Showcase Your Technical Skills

    As a Senior Machine Learning Engineer, it's crucial to demonstrate your technical expertise. Be prepared to discuss your experience with deep learning, transformers, and other relevant ML techniques. Bring examples of past projects where you've successfully applied these skills.

    ✨Understand the Business Context

    Roku values candidates who can connect technical solutions to business outcomes. Familiarise yourself with their mission and how machine learning impacts user engagement. Be ready to discuss how your work can contribute to their goals in search and recommendations.

    ✨Prepare for Collaborative Scenarios

    Collaboration is key at Roku. Expect questions about how you've worked with cross-functional teams in the past. Think of specific examples where you translated business requirements into technical specifications and how you navigated team dynamics.

    ✨Demonstrate Problem-Solving Abilities

    Roku is looking for independent thinkers who can tackle complex problems. Prepare to discuss challenges you've faced in previous roles and how you approached solving them. Highlight your analytical thinking and attention to detail in your responses.