Technical Architect - Business Applications

Teamwork makes the stream work.Roku is changing how the world watches TVRoku 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 roleRoku Advertising powers a multi-billion-dollar business and operates at the scale of one of the largest CTV ad platforms in the US. We're looking for a Senior Machine Learning Engineer to drive the next evolution of how this business runs, partnering closely with advertising business stakeholders, product management, and engineering teams to transform our operations using machine learning and agentic AI systems.You'll apply intelligence across the entire Roku advertising business lifecycle, including pre-sales, booking, campaign management, delivery, and revenue workflows, building agents that recommend, automate, and optimize decisions from end to end. Your work will directly influence how a multi-billion-dollar revenue base is planned, executed, and measured.This is not a research-only role. You will own production-grade ML and agentic systems that create measurable business impact, set the technical direction for AI-native operations, and lead other engineers with technical direction.For Massachusetts Only - The estimated annual salary for this position is between $250,000 - $450,000 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. What you'll be doing Develop and oversee technical strategy for Roku’s platform that supports diverse business applications.Drive the AI-native transformation of Roku's advertising business operations, identifying high-leverage opportunities and influencing roadmap, architecture, and system design across multiple teams.Start from the needs of internal engineers and business operators, bringing a creative and strategic approach to simplifying systems and introducing practical, high-impact solutions.Work closely with advertising business stakeholders to identify needs, surface high-impact opportunities, and translate operational pain points into ML and agentic AI solutions.Design and ship production ML and agentic systems end-to-end, including recommendation, personalization, ranking, forecasting, anomaly detection, and multi-agent or agent-to-agent workflows, embedded directly within product and operational systems where they drive decisions.Apply GenAI and LLMs to deliver measurable value by building and scaling Retrieval Augmented Generation (RAG) pipelines, prompt orchestration, evaluation frameworks, and guardrails, with a focus on reliability and outcomes over hype.Translate ambiguous business problems into production solutions, partnering with engineers, data scientists, product managers, and business teams to ground ML and AI work in real operational impact.Build and operationalize evaluation loops covering precision and recall, calibration, drift detection, and human-in-the-loop systems, and define the dashboards and Service Level Objectives (SLO) that tie model performance to business outcomes.Provide technical leadership across the broader ML and AI surface area, raising the bar for engineering rigor, mentoring engineers, and shaping how the organization thinks about AI-native systems.We're excited if you have Master's or PhD in Computer Science, Mathematics, Statistics, or a related technical field, or equivalent practical experience.10+ years of hands-on engineering experience, with a track record of technically leading and delivering large-scale assistant or autonomous systemsStrong foundation in machine learning and statistical modeling, including clustering, classification, regression, decision trees, neural networks, SVMs, and anomaly detection, with deep understanding of supervised and unsupervised learning, feature engineering, model evaluation, bias-variance tradeoffs, and offline vs. online metrics.Proven experience building and scaling production ML and AI systems, including LLMs, RAG architectures, embeddings, retrieval-based systems, and multi-agent or agent-based system design.Hands-on experience designing, training, tuning, and deploying models for ranking, prediction, recommendation, forecasting, classification, or NLP use cases.Experience with cloud platforms (AWS, Azure, Google Cloud), microservices, containerization (Docker, Kubernetes), and DevOpsDemonstrated technical leadership, including setting direction, influencing across teams, and elevating the work of other engineers.Experience in advertising, marketplaces, e-commerce, travel, or similar data-rich, decision-driven platforms is a strong plus.#LI-RN1What's Roku's approach to hybrid working?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.What are some of the 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). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support 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.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 View email address on click.appcast.io should I know about Roku's 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 View email address on click.appcast.io.