Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Software Engineer, Machine Learning

Roku
Cambridge
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer, Machine Learning

Senior Software Engineer, Machine Learning

Senior Software Engineer, Machine Learning Services (MLS)

Senior Software Engineer, Machine Learning - EA SPORTSTM FC

Senior Software Engineer, Data & Machine Learning

Senior Software Engineer, AI/Machine Learning - EA SPORTS FC

Senior Software Engineer, Machine Learning

3 days ago Be among the first 25 applicants


Get AI-powered advice on this job and more exclusive features.


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’re expanding to power 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


The Roku Voice team is responsible for Roku’s Voice product, used by millions of Roku users. We enable our users to easily and effortlessly control their TV, find content to stream, and more, all through the power of their voice. We deliver this engaging and delightful experience through state-of-the-art technologies and platforms.


About the Role


Roku is building a world-class voice system used by millions of Roku users. The Roku Voice team is looking for ambitious, experienced machine learning engineers with a background in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, automated speech recognition, conversational systems, and building large-scale production systems. You have a unique opportunity to contribute to building the core Roku Voice product as part of a world-class team.


What you'll be doing



  • Design and develop software and algorithms for Roku’s state-of-the-art voice system
  • Design and develop software components for high availability and high-performance cloud solutions
  • End-to-end responsibility from developing a proof of concept to production
  • Have a strong programming background with hands-on experience in building large-scale production systems
  • Strong algorithmic background and enjoy solving complex problems
  • Collaborate across teams to bring in the best talent to achieve goals
  • Contribute new ideas and evaluate multiple solutions with peers before settling on a specific approach
  • Be self-driven, take complete ownership of initiatives, and make pragmatic technical decisions

We're excited if you have



  • Experience with big data systems (Spark, EMR, S3, Airflow) and programming languages (Java, Python, or C++)
  • Strong understanding of machine learning fundamentals (regression, classification, ranking, neural networks, and sequence models for text/speech)
  • Hands-on experience in building challenging production systems
  • Strong CS fundamentals with the ability to write algorithms with ease
  • Experience deploying and maintaining machine learning models (transformer-based models in production is a plus), including identifying KPIs and objective functions
  • Experience with advanced ML techniques, including LLM and generative AI
  • Experience building in-production NLU and/or ASR systems
  • Bachelor’s degree required; MS in CS or PhD in CS or related fields is preferred

Benefits


Roku offers a diverse range of benefits as part of our compensation package to support employees and their families. Our benefits include global access to mental health and financial wellness resources. Local benefits may include healthcare (medical, dental, vision), life, accident, disability, commuter, and retirement options (401(k)/pension). We support time off for vacation and personal needs to balance work and life. Not every benefit is available in all locations or for every role. For location-specific details, please consult with your recruiter.


The Roku Culture


Roku is a fast-paced place where everyone focuses on the company’s success. We value independent thinkers with big ideas who act boldly, move fast, and collaborate to achieve extraordinary things. At Roku you'll be part of a company changing how the world watches TV.


We pride ourselves on being problem-solvers who turn solutions into deliverables for customers. Since 2002, we have pursued a pragmatic approach to innovation.


To learn more about Roku, our global footprint, and how we’ve grown, visit https://www.weareroku.com/factsheet.


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 communications from Roku regarding this role or similar roles in the future, you may unsubscribe here at any time.


Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering and Information Technology
  • Software Development

Referrals increase your chances of interviewing at Roku by 2x


Cambridge, England, United Kingdom 2 weeks ago


We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.