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- 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, healthcare, and flexible time off.
- Why this job: Make a real impact on millions of users while working with top-notch technology.
- Qualifications: 8+ years in machine learning or a PhD with 6 years; strong coding skills required.
- Other info: Collaborative culture focused on problem-solving and innovation.
The predicted salary is between 54000 - 84000 £ per year.
Senior Software Engineer, Machine LearningJoin to apply for the Senior Software Engineer, Machine Learning role at Roku
2 days ago Be among the first 25 applicants
About the TeamThe Advanced Development team at Roku pushes beyond today\’s product lines to invent the next generation of intelligent and generative media systems. We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalised across millions of Roku devices.
This is a rare environment — a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps. Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision — people who challenge convention, embrace ambiguity, and build what\’s never been built before. It\’s a collaborative, low-ego, ownership-driven culture built on trust and curiosity.
We\’re seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision — someone who thrives where research meets production.
About the RoleAs a Senior Applied Machine Learning Engineer, you\’ll help design, build, and deploy the systems that make media smarter. You\’ll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence.
You\’ll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment — and seeing your work directly influence how audiences experience Roku\’s content and advertising ecosystem.
What You\’ll Be Doing
Deploying scalable, fault‐tolerant computer vision, media understanding, and generative AI systems to production
Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations
Designing uncertainty metrics and communicating results to both technical and non‐technical stakeholders
Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality
Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising
Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services
Integrating services from other teams around the company, while also providing reusable ML services to others
Evaluating and providing feedback on new platform technologies provided by internal teams
Working with QA teams to address bugs and contribute to automation and quality assurance
We\’re Excited If You Have
A Master\’s degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field
Strong background developing applied machine learning systems using PyTorch or TensorFlow
Expertise in image processing, computer vision, or natural language processing
Experience using AWS, GCP, or Azure for storing data, training, and serving models
Proven ability to evaluate models and communicate insights effectively
Experience building APIs with frameworks such as GraphQL or REST
Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow
Hands‐on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools
AccommodationsRoku 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 EmployeeRelations@Roku.com.
Our Hybrid Work ApproachRoku 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.
BenefitsRoku 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.
The Roku CultureRoku 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.
Additional InformationBy 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 here at any time.
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Senior Machine Learning Engineer employer: Roku
Contact Detail:
Roku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨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 interview by brushing up on your ML knowledge. Be ready to discuss your past projects and how they relate to search and recommendations. Show us your passion for problem-solving!
✨Tip Number 3
Don’t just focus on technical skills; showcase your communication abilities too. We want to see how you can explain complex ideas simply. Practice presenting your work to friends or family!
✨Tip Number 4
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
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, big data systems, and any relevant projects that showcase your skills. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about Roku and how your background aligns with our goals. Be genuine and let your personality come through – we love a good sense of humour!
Showcase Your Projects: If you've worked on any interesting ML projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see your problem-solving skills in action. Include links if possible!
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’re considered for the role. Plus, it shows you’re keen on joining our team at Roku!
How to prepare for a job interview at Roku
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially in areas like classification, deep neural nets, 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 understanding.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems using ML techniques. Think about challenges you've faced in previous roles and how you approached them, particularly in relation to search and recommendations.
✨Familiarise Yourself with Big Data Tools
Since the role involves working with big data systems, make sure you can talk confidently about tools like Spark, S3, and Airflow. Highlight any experience you have with data pipelines and streaming architecture, as this will be crucial for the position.
✨Communicate Effectively
Roku values communication and presentation skills, so practice explaining complex technical concepts in a clear and concise manner. Be prepared to discuss how you would collaborate with cross-functional teams to translate business requirements into technical specifications.
