> Markdown version of [/jobs/ext/2193817-machine-learning-platform-engineer](https://www.wearedevelopers.com/jobs/ext/2193817-machine-learning-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Platform Engineer - **Company:** Roku, Inc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $229,500.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Big Data, Cursor (Graphical User Interface Elements), Distributed Systems, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Azure Machine Learning, Scala (Programming Language), Software Construction, Pytorch, Multi-Agent Systems, Apache Spark, Kotlin, Information Technology, Apache Flink, HuggingFace, Apache Kafka, Programming Languages - **Published:** August 23, 2026 - **Apply:** https://www.dice.com/job-detail/01f0e462-5c97-472a-a278-42ec5cd6642a ## About the Role * 5+ years of experience building software solutions to concrete problems * Strong CS fundamentals. Should be able to write an algorithm with ease * You are fluent with one of the high-level programming languages like Java, Scala, Kotlin, or Python * We'd love to see that you've worked with big data systems (Spark, Kafka, Flink, S3, AirFlow) * Familiar with model ML frameworks and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker * AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work, or are curious about Gen AI and have explored it. * MS in Computer Science or related field #LI-SSC What's Roku's approach to hybrid working? ## Description We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust distributed systems that power the next generation of personalized content recommendations for millions of Roku users. You will focus on developing end-to-end machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows that deliver unique experiences at scale., For New York Only - The estimated annual salary for this position is between $229,500 - $360,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. How will I use AI at Roku? At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you. What You'll Be Doing * Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs, etc., that serve millions of transactions per second * Run and monitor online AB tests via robust platform services, analyzing platform metrics and business KPIs to optimize recommendation system performance * Collaborate closely with US-based engineering and cross-functional teams to translate business requirements into modular platform components and APIs * Enhance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs * Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies, Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)