Senior Software Engineer, Machine Learning Job at Roku in San Jose

Senior Software Engineer, Machine Learning

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'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 valuableand valuedcontribution. 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

Our world-class Recommendation Team has been innovating in developing ML models in multiple areas, including content recommendation, content generation, content understanding, revenue/gross profit optimization, and much more. Both the scope and impact of Recommendations at Roku are massive as we personalized Home Screen, Destinations, EPG, and all other consumer-facing surfaces. Our Recommendation Team has a culture of collaboration and innovation (we have filed 30+ patents).

About the Role

We seek an outstanding, creative, and passionate Senior Machine Learning Engineer to join Roku's Recommendation Team. You will be responsible for building and owning the next generation of content recommendations/understanding/generation models/systems that will make the experience for our many millions of Roku users better.

For California Only the estimated annual salary for this position is between $195,000 and $465,000 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

• Apply state-of-the-art ML models, including and not limited to transformer-based sequential models, collaborative filtering models, session-based models, reinforcement learning models, diffusion models
• Run online AB tests and analyze them to optimize critical business KPIs
• Collaborate across Product and Engineering teams to translate business requirements into technical specifications
• Nurture our ML ecosystem to make it withstand scale, developer velocity, and future business shifts
• Help in training and mentoring new team members

We're Excited If You Have

• 5+ years of experience in applying Machine Learning to concrete problems at a large scale. Recommendation domain is a plus
• Strong CS fundamentals and software engineering skills. Should be able to design/write an efficient algorithm with ease
• Deep understanding of statistics learning and ML fundamentals Regression, Classification, Tree-based approach, Neural network, sequence-based models, reinforcement learning
• Deep experience with system architecture, especially for serving ML models. And extensive experience in distributed computing, data pipelines, etc.
• Bachelor's/Master's in Computer Science or related area, Ph.D. in ML will be a plus
• Bonus point: You deploy Gen AI in production

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. Its 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 EmployeeRelations@Roku.com.

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 isnt 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 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 any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.

#J-18808-Ljbffr

In Summary: The estimated annual salary for this position is between $195,000 and $465,000 annually . The Senior Machine Learning Engineer will be responsible for building and owning the next generation of content recommendations/understanding/generation models/systems that will make the experience for our many millions of Roku users better .

En Español: Roku está cambiando la forma en que el mundo ve televisión. Roku es la plataforma de transmisión televisiva número 1 en los EE.UU., Canadá y México, y hemos fijado nuestras miradas en alimentar a todas las televisoras del mundo. Somos una compañía de rápido crecimiento donde nadie es un consumidor. Te ofrecemos la oportunidad de deleitar a los espectadores de todo el ecosistema de TV. Conectamos a los consumidores con el contenido que aman, permitimos a los editores de contenidos construir y monetizar grandes audiencias, y brindamos capacidades únicas para involucrar a los anunciantes. Desde tu primer día en Roku, harás una contribución valiosa e innovadora. Para California solo el salario anual estimado para este puesto es de entre $195,000 y $465,000 al año. Los paquetes de compensación se basan en factores únicos para cada candidato, incluidos pero no limitados a un conjunto de habilidades, certificaciones y ubicación geográfica específica. Este papel será responsable de crear y poseer la próxima generación de recomendaciones de contenido/entendimiento/modelos de generación/sistemas que harán mejor la experiencia de nuestros muchos millones de usuarios de Roku. Solo para California lo hará Aplicar los modelos del estado-de-la-arte, y no limitarse a los modelos basados en velocidad de transformación. El dominio de recomendación es un más Fuertes fundamentos CS y habilidades de ingeniería de software. Debe ser capaz de diseñar/escribir un algoritmo eficiente con facilidad Comprensión profunda del aprendizaje estadístico y los fundamentos ML Regreso, Clasificación, enfoque basado en árboles, red neuronal, modelos basados en secuencias, refuerzo Aprendizaje profundo experiencia con la arquitectura de sistemas, especialmente para servir modelos ML. Y amplia experiencia en computación distribuida, tuberías de datos, etc. Licenciatura / Máster en Ciencia informática o área relacionada, Ph.D. en ML será una ventaja adicional: Usted despliega AI genética en producción Nuestro abordaje híbrido Roku promueve un entorno inclusivo y creativo donde los equipos trabajan desde el lunes hasta el jueves. Frid ofrece beneficios legales flexibles a los empleados cuyos roles se requieren estar en la oficina cinco días a la semana Otras prestaciones legales que incluyen recursos de salud mental y asistencia sanitaria, así como nuestros servicios locales (incluye una variedad de pensiones) Nuestros empleados pueden tomar tiempo libre del trabajo por vacaciones y otras razones personales para equilibrar sus necesidades de vida laboral y personal. Es importante tener en cuenta que no todos los beneficios están disponibles en todas las ubicaciones o para cada rol. Para obtener detalles específicos de su lugar, consulte con su reclutador. Accommodations Roku da la bienvenida a solicitantes de todo tipo de antecedentes y proporciona alojamientos y ajustes razonables de acuerdo con la ley aplicable. Si necesita un alojamiento razonable en cualquier momento del proceso de contratación, dirija sus consultas a EmployeeRelations@Roku.com. El Roku Culture Roku es un gran lugar para personas que quieren trabajar en un entorno acelerado donde todos se centran en el éxito de la empresa más que en su propio. Intentamos rodearnos de gente que sea grande en sus trabajos rápidos, que sean fáciles de trabajar con, y que mantenga su ego en control. Para obtener más información sobre Roku, nuestra huella global y cómo hemos crecido, visite https://www.weareroku.com/factsheet.