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.","

Senior Software Engineer, Machine Learning

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

Teamwork makes the str...","Senior Software Engineer, Machine Learning Job at Roku in San Jose",[115],["B","3521627406"],"/jobs/3521627406-senior-software-engineer-machine-learning-job-at-roku-in-san-jose","Senior Software Engineer, Machine Learning Job at Roku in San Jos...","/jobs?keyword=Senior+Software+Engineer%2C+Machine+Learning+Job+at+Roku+in+San+Jos...",{"_64":65,"_66":90,"_68":91,"_70":71,"_72":92},["D",1777428956000],"

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 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
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 New York 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. 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.

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.

Additional Information
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:

El trabajo en equipo hace que la corriente funcione

Roku es la plataforma de transmisión televisiva número uno en los EE.UU., Canadá y México, y nos hemos enfocado a alimentar todas las televisoras del mundo. Roku fue pionera en transmitir al TV. Nuestra misión es ser la plataforma que conecta todo el ecosistema de televisión. Conectamos a los consumidores con el contenido que aman, permitimos a los editores de contenidos construir y monetizar audiencias grandes, y ofrecemos a los anunciantes capacidades únicas para involucrar a los clientes.

Desde su primer día en Roku, usted hará una contribución valiosa y valorada. Somos una compañía pública de rápido crecimiento donde nadie es un espectador. Le ofrecemos la oportunidad de deleitar a millones de televisores alrededor del mundo mientras gana experiencia significativa en una variedad de disciplinas.

Sobre el equipo

Nuestro equipo de recomendaciones de clase mundial ha estado innovando en el desarrollo de modelos ML en múltiples áreas, incluyendo la recomendación de contenido, generación de contenidos, comprensión del contenido, optimización de ingresos / ganancias brutas y mucho más. Tanto el alcance como el impacto de las recomendaciones en Roku son enormes ya que personalizamos pantalla de inicio, destinos, EPG y todas las demás superficies orientadas al consumidor.

Sobre el papel

Buscamos a un Ingeniero Superior de Aprendizaje Automático excepcional, creativo y apasionado para unirse al Equipo de Recomendaciones de Roku. Usted será responsable de construir y poseer la próxima generación de recomendaciones/entendimiento/modelos/sistemas de contenido que harán mejor la experiencia para nuestros muchos millones de usuarios de Roko.

El salario anual estimado para este puesto es de entre 195.000 y 465.000 dólares al año. Los paquetes de compensación se basan en factores únicos para cada candidato, incluyendo pero no limitado a un conjunto de habilidades, certificaciones y ubicación geográfica específica.

Lo que vas a hacer

Aplicar modelos ML de última generación, incluidos y no limitados a: modelos secuenciales basados en transformadores, modelos de filtraje colaborativo, modelos basado en sesiones, modelos para el aprendizaje con refuerzo, modelos por difusión
Ejecutar pruebas de AB en línea y analizarlas para optimizar los KPIs críticos del negocio
Colaborar entre equipos de productos e ingeniería para traducir los requisitos empresariales en especificaciones técnicas
Nutrir nuestro ecosistema de ML para que pueda soportar escala, velocidad del desarrollador y cambios comerciales futuros
Ayuda en la formación y orientación de los nuevos miembros del equipo

Estamos emocionados si lo has hecho

5+ años de experiencia en la aplicación del aprendizaje automático a problemas concretos a gran escala.
Fuertes conocimientos básicos de CS y habilidades en ingeniería de software.
Comprensión profunda del aprendizaje de estadísticas y los fundamentos del ML Regresión, Clasificación, enfoque basado en árboles, red neuronal, modelos basados en secuencias, aprendizaje por refuerzo
Profundas experiencias con la arquitectura de sistemas, especialmente para el servicio a los modelos ML y amplia experiencia en computación distribuida, tuberías de datos, etc.
La licenciatura/maestría en Ciencias de la Computación o área relacionada, el doctorado en ML será una ventaja
Punto de ventaja: se despliega Gen AI en la producción

Nuestro enfoque de trabajo híbrido

Roku promueve un entorno inclusivo y colaborativo donde los equipos trabajan en la oficina del lunes al jueves. Los viernes son flexibles para el trabajo remoto, excepto para empleados cuyos roles se requieren estar en las oficinas cinco días a la semana o empleados que están en oficinas con una política de cinco días de oficina.

Beneficios

Roku está comprometido a ofrecer una amplia gama de beneficios como parte de nuestro paquete de compensación para apoyar a nuestros empleados y sus familias. Nuestros beneficios integrales incluyen el acceso global a la salud mental y apoyo financiero al bienestar y recursos. Los beneficios locales incluyen beneficios legales y voluntarios que pueden incluir atención médica (médica, dental y visión), vida, accidente, discapacidad, viajero y opciones de jubilación (401(k) / pensión).

Alojamiento

Roku da la bienvenida a solicitantes de todos los orígenes y proporciona adaptaciones razonables de acuerdo con las leyes aplicables. Si necesita un alojamiento razonable en cualquier momento del proceso de contratación, envíe sus consultas a EmployeeRelations@Roku.com

La cultura del Roku

Roku es un gran lugar para las personas que quieren trabajar en un entorno acelerado donde todos se centran en el éxito de la empresa y no en los suyos propios. Tratamos de rodearnos de gente excelente en sus trabajos, con quien es fácil trabajar y que mantiene su ego bajo control. Apreciamos el sentido del humor. Creemos que menos gente muy talentosa puede hacer más por menor costo que una mayor cantidad de equipos menos talentosos. Somos pensadores independientes con grandes ideas que actúan audazmente, avanzan rápidamente y logran cosas extraordinarias a través de colaboración y confianza. En resumen, en Roku serás parte de una compañía que está cambiando la forma en que el mundo ve televisión.

Tenemos una cultura única de la que estamos orgullosos. Nos consideramos principalmente como solucionadores de problemas, lo cual en sí mismo es una idea de dos partes. Llegamos con la solución, pero la solución no es real hasta que se construye y entrega al cliente. Esa inclinación a la acción nos da un enfoque pragmático hacia la innovación, uno que nos ha servido bien desde 2002.

Para obtener más información sobre Roku, nuestra huella global y cómo hemos crecido, visite https://www.weareroku.com/factsheet.

Al proporcionar su información, usted reconoce que desea que Roku se comunique con usted sobre los roles de trabajo, que ha leído el Aviso de privacidad del solicitante de Roku y entiende que Roko utilizará su información como se describe en ese aviso.

","

Senior Software Engineer, Machine Learning
Get AI-powered advice on this job and more exclusive features.

Teamwork makes the stream...","Roku is hiring: Senior Software Engineer, Machine Learning in New York",[127],["B","3521627377"],"/jobs/3521627377-roku-is-hiring-senior-software-engineer-machine-learning-in-new-york","Roku is hiring: Senior Software Engineer, Machine Learning in New...","New York, NY, United States","/jobs?location=New+York%2C+NY%2C+United+States","/jobs?keyword=Roku+is+hiring%3A+Senior+Software+Engineer%2C+Machine+Learning+in+New...",{"_64":65,"_66":128,"_68":129,"_70":130,"_72":131},"New York","New York, NY, United States, 10261","NY","10261",1072,"name","Hearst Television","agency","logo","slug","hearst-television","

Every career with Hearst Television is like a story. How it develops, where it takes you, the milestones you reach along the way – you’ve got a lot to look forward to as your unique career story unfolds. Hearst Television, a subsidiary of Hearst, owns and operates local television and radio stations serving nearly three dozen U.S. cities, reaching 24 million U.S. television households. Through its partnership with nearly all major networks, Hearst Television distributes national content across more than 120 video channels, including programming from ABC, NBC, CBS, CW, MY Net, MeTV, This TV, Estrella, and more. Hearst Television is recognized as one of the industry's premier companies. It has been honored with numerous awards for distinguished journalism and industry innovation, including the Walter Cronkite Award for political journalism, the national Edward R. Murrow Award, the DuPont-Columbia Award, and the George Foster Peabody Award.

","New York, NY","coloredLogo","logoAttachment","Hearst.png","thumbnail","thumbnailAttachment","Hearst_TV_Careers.png","hexCode","#2D75B9","headline","National multimedia company reaching 24 million households","https://production-rails-default.s3.amazonaws.com/uploads/company/logo_attachment/1072/Hearst.png","/companies/hearst-television","https://production-rails-default.s3.amazonaws.com/uploads/company/thumbnail_attachment/1072/Hearst_TV_Careers.png",["B","3523522501"],["D",1777266000000],"indexedAt","Senior Software Development Engineer in Test (SDET)","Senior Software Development Engineer in Test (SDET)

They MUST have experience with OTT or Smart TV devices

lead manual QA testing for our clients OTT application on SmartTVs and other platforms (e.g., Roku, Fire TV, Apple TV, Android TV, gaming consoles).
This role is pivotal in ensuring a high-quality experience for millions of users consuming premium video content on their TVs.

","descriptionText","Senior Software Development Engineer in Test (SDET) 3B Staffing LLC Senior Software Development Engineer in Test (SDET) They MUST have experience with OTT or Smart TV devices lead manual QA testing for our clients OTT application on SmartTVs and other platforms (e.g., Roku, Fire TV, Apple TV, Android TV, gaming consoles). This role is pivotal in ensuring a high-quality experience for millions of users consuming premium video content on their TVs.","Senior Software Development Engineer in Test (SDET)

They MUST have experience with OTT or Smart TV devices

lead manual QA testing...",[192],"3B Staffing LLC","salaryMin","salaryMax","salaryDescription","url","https://us.thebigjobsite.com/redirectfeedjob?jobid=49BF02B4A3C075DF24A8862B6776C6F2&source=mediabistroxmlus&utm_source=mediabistroxmlus&jobSiteKey=1E76DC537B86F4E6B0EFDA9B35840634","companyDescription","companyWebsite","Work at 3B Staffing LLC","isManualPosted","costPerClick",0.12,"/jobs/3523522501-senior-software-development-engineer-in-test-sdet","fullUrl","https://www.mediabistro.com/jobs/3523522501-senior-software-development-engineer-in-test-sdet","strippedDescription","Senior Software Development Engineer in Test (SDET)They MUST have experience with OTT or Smart TV deviceslead manual QA testing for our clients OTT application on SmartTVs and other platforms (e.g., Roku, Fire TV, Apple TV, Android TV, gaming consoles).This role is pivotal in ensuring a high-quality experience for millions of users consuming premium video content on their TVs.","parsedLocation",{"_68":183,"_188":39,"_189":39,"_66":190,"_70":71,"_64":65,"_72":191},"2 days ago","Manhattan Beach, CA, United States","level","/jobs?keyword=3B+Staffing+LLC","/jobs?location=Manhattan+Beach%2C+CA%2C+United+States","/jobs?keyword=Senior+Software+Development+Engineer+in+Test+%28SDET%29","street1","street2","Manhattan Beach","90266",{"_68":193,"_66":190,"_70":71,"_64":65,"_72":191},"Manhattan Beach, CA, United States, 90266","honeypotInputProps",{"_634":635,"_636":637,"_638":639},"board",{"_133":225,"_226":225,"_227":214,"_228":229,"_230":231,"_232":233,"_234":235,"_236":237,"_238":239,"_240":241,"_242":243,"_244":245,"_246":247,"_248":249,"_250":251,"_252":253,"_254":255,"_256":257,"_258":259,"_260":261,"_262":263},"requestInfo",{"_215":216,"_217":214,"_218":175,"_219":220},"env",{"_205":206,"_207":208,"_209":210,"_211":212,"_213":214},"user","toast","confettiId","MODE","production","SENTRY_ENV","mediabistro","NEW_JOB_BOARD_SENTRY_DSN","https://235251e3654b447a82e934b7c2ce7c93@o4504103609303040.ingest.sentry.io/4504806528253952","SENTRY_RELEASE","1059973dd48089cb95830212b3ebc90a187295e4","WEBSITE_URL","https://www.mediabistro.com","hints",{"_221":222,"_223":224},"origin","path","userPrefs",{"_221":222},"theme","light","timeZone","UTC","Mediabistro","fullName","siteUrl","pages",{"_631":632,"_633":468},"mainCss",":root{--background:white;--foreground:black;--card:oklch(100% 0 0);--card-foreground:oklch(25% .001 0);--popover:white;--popover-foreground:black;--primary:oklch(59% .23 31.14);--primary-foreground:oklch(100% 0 0);--secondary:oklch(98% .001 0);--secondary-foreground:oklch(25% .001 0);--muted:oklch(97% 0 0);--muted-foreground:oklch(55.6% 0 0);--accent:oklch(96% 0 0);--accent-foreground:oklch(25% .001 0);--destructive:oklch(65% .15 15);--border:oklch(90% .001 0);--input:oklch(90% .001 0);--ring:oklch(70% .15 25);--chart-1:oklch(70% .15 25);--chart-2:oklch(70% .12 140);--chart-3:oklch(75% .12 60);--chart-4:oklch(50% .07 250);--chart-5:oklch(34% .03 240);--sidebar:oklch(98% .001 0);--sidebar-foreground:oklch(25% .001 0);--sidebar-primary:oklch(70% .15 25);--sidebar-primary-foreground:oklch(100% 0 0);--sidebar-accent:oklch(98% .001 0);--sidebar-accent-foreground:oklch(25% .001 0);--sidebar-border:oklch(90% .001 0);--sidebar-ring:oklch(70% .15 25);--footer-background:oklch(14% .07 288.16);--footer-foreground:oklch(100% 0 0);--footer-border:oklch(70% .15 25);--primary-surface:oklch(59% .23 31.14)}.dark{--background:oklch(20% .02 235);--foreground:oklch(100% 0 0);--card:oklch(25% .03 232);--card-foreground:oklch(100% 0 0);--muted:oklch(31% .02 232);--muted-foreground:oklch(78% .01 220);--popover:oklch(25% .03 232);--popover-foreground:oklch(100% 0 0);--border:oklch(35% .03 220);--primary-surface:oklch(100% 0 0)}","analytics",{"_629":630},"meta",{"_596":597},"favicon",{"_590":591,"_592":593,"_594":595},"metaTags",{"_588":589},"social",{"_575":576,"_577":578,"_579":580,"_581":582,"_583":584},"helpEmail","help@mediabistro.com","transactionalEmail",{"_569":570,"_571":572,"_573":574},"header",{"_136":475,"_476":477},"footer",{"_136":424,"_425":426,"_386":39,"_427":428,"_429":430,"_382":431,"_432":433,"_434":435},"styleGuide",{"_395":396,"_397":398},"jobsSearch",{"_389":390},"hero",{"_36":384,"_336":385,"_386":387,"_371":388},"flags",{"_381":15,"_382":15,"_383":368},"postJobs",{"_234":280,"_254":281,"_282":283,"_284":285,"_256":286,"_287":288,"_289":290,"_291":292,"_293":294,"_295":296,"_297":298},"createAlertMeta",[269,270,271],"jobsPortalSignupMeta",[264,265],{"_36":268},{"_133":31,"_266":267},"content","Create your free profile to apply for jobs, upload your resume, and set job alerts. Join the leading career community for creative, marketing, and media professionals.","Sign Up | Creative, Marketing & Media Job Search",{"_36":279},{"_133":31,"_266":278},{"_272":273,"_274":275,"_276":277},"href","https://www.mediabistro.com/create-alert","rel","canonical","tagName","link","Never miss an opportunity. Sign up for free email alerts and get the latest jobs in social media, graphic design, writing, and marketing delivered to your inbox.","Create Job Alerts | Media, Marketing & Creative Job Alerts",[377,378],{"_36":375,"_336":376,"_31":39},"unlimitedJobsEmail","clients@mediabistro.com","enterpriseCta",{"_371":372,"_373":374},{"_367":368,"_369":368,"_370":368},"mediaBoardSection",{"_36":357,"_336":358,"_31":359,"_360":361,"_355":362},"rolesSection",{"_36":352,"_336":353,"_31":354,"_355":356},"testimonialsSection",{"_36":349,"_336":350,"_31":351},"testimonials",[337,338,339],"employersSection",{"_36":335,"_336":225},"employerLogos",[299,300,301,302,303,304,305,306,307,308,309,310],{"_133":333,"_312":334},{"_133":331,"_312":332},{"_133":329,"_312":330},{"_133":327,"_312":328},{"_133":325,"_312":326},{"_133":323,"_312":324},{"_133":321,"_312":322},{"_133":319,"_312":320},{"_133":317,"_312":318},{"_133":134,"_312":316},{"_133":314,"_312":315},{"_133":311,"_312":313},"Leaf Group","image","https://production-rails-default.s3.us-east-2.amazonaws.com/public/post-jobs-logos/leaf-group-400x200.png","Cox Enterprises","https://production-rails-default.s3.us-east-2.amazonaws.com/public/post-jobs-logos/cox-enterprises-400x200.png","https://production-rails-default.s3.us-east-2.amazonaws.com/public/post-jobs-logos/hearst-television-400x200.png","Future","https://production-rails-default.s3.us-east-2.amazonaws.com/public/post-jobs-logos/future-400x200.png","Fox Corporation","https://production-rails-default.s3.us-east-2.amazonaws.com/public/post-jobs-logos/fox-corporation-400x200.png","Penguin Random House","https://production-rails-default.s3.us-east-2.amazonaws.com/public/post-jobs-logos/penguin-random-house-400x200.png","Springer Nature","https://production-rails-default.s3.us-east-2.amazonaws.com/public/post-jobs-logos/springer-nature-400x200.png","Penske Media Corporation","https://production-rails-default.s3.us-east-2.amazonaws.com/public/post-jobs-logos/penske-media-corporation-400x200.png","Dotdash","https://production-rails-default.s3.us-east-2.amazonaws.com/public/post-jobs-logos/dotdash-400x200.png","Meredith","https://production-rails-default.s3.us-east-2.amazonaws.com/public/post-jobs-logos/meredith-400x200.png","Bloomberg","https://production-rails-default.s3.us-east-2.amazonaws.com/public/post-jobs-logos/bloomberg-400x200.png","NBCUniversal","https://production-rails-default.s3.us-east-2.amazonaws.com/public/post-jobs-logos/nbc-universal-400x200.png","Media and Creative Employers on","subtitle",{"_340":346,"_342":347,"_136":348},{"_340":333,"_342":345,"_136":334},{"_340":341,"_342":343,"_136":344},"company","The Taunton Press","quote","What we like best about Mediabistro is the quality of targeted talent they deliver through their job board portal. We know we'll find the right type of talent for specialized positions that may be more challenging to fill. For almost fifteen years, Mediabistro has been our go-to resource for talent in the media/publishing space.","https://production-rails-default.s3.us-east-2.amazonaws.com/public/post-jobs-logos/taunton-press-400x200.png","Mediabistro is valuable partner when it comes to finding top candidates in the media industry. Their team is extremely responsive, which makes the posting process quick and easy. They also offer great insight into branding company pages.","Huffpost","I love using Mediabistro for my harder to fill creative roles. Multimedia positions like photo editors, video producers, or even niche journalists yield great results. Other job boards don't always produce the specialized talent my hiring teams are looking for, and I feel like I can find that talent through Mediabistro.","https://production-rails-default.s3.us-east-2.amazonaws.com/public/post-jobs-logos/huff-post-400x200.png","Trusted by Leading Media","and Creative Employers","See why top publishers, agencies, and brands rely on us to find exceptional talent.","Hire Remote and Local Talent","Across Every Media Vertical","Whether you are building an in-office team or seeking remote talent, access a specialized network of professionals in editorial, publishing, influencer marketing, and AI content strategy. Find candidates—from prompt engineers to production leads—who are ready to contribute from anywhere.","imageAlt","Media roles infographic","The #1 Destination for Media","and Creative Talent","Connect with top-tier full-time and freelance media professionals. Whether you are a leading publisher, a streaming service, or a growing brand, we deliver specialized talent you won't find on generalist job boards. Find your perfect match for:","bullets",[363,364,365,366],"Job seekers and featured job cards collage","News, Journalism & Book Publishing","Content Marketing, AI Prompt Engineering & Copywriting","Influencer Management, TV & Video Production","PR, Non-Profits & Education","showMediaBoardSection",true,"showRolesSection","showPlanIcon","text","*Unlimited plan is for direct employers only. Hiring at scale, posting on behalf of clients, or distributing across job boards?","linkText","Contact us for custom volume pricing, multi-brand support, and programmatic distribution.","The #1 Job Board for Media, Marketing & Creative Talent","Skip the unqualified resumes. Reach journalism, publishing, and marketing pros who are ready to work.",{"_36":380},{"_133":31,"_266":379},"Recruit qualified media and creative professionals on the #1 industry job board. Reach top talent in design, social media, advertising, and communications. Post a job today.","Post a Job | Hire Media, Marketing & Creative Talent - Mediabistro","privacy","termsOfUse","weeklyNewsletter","Find Your Next Media Job","Discover creative opportunities at the world's leading media brands","cta","Start Your Search","Search Media, Marketing & Creative Jobs","emptyMeta",[391,392],{"_36":394},{"_133":31,"_266":393},"The #1 job board for media, marketing, and communications professionals. Search career opportunities in advertising, public relations, journalism, and creative arts.","Media, Marketing & Creative Job Board | Journalism & Ad Jobs","images",[421,422,423],"colors",[399,400,401,402,403,404,405],{"_133":419,"_407":420},{"_133":417,"_407":418},{"_133":415,"_407":416},{"_133":413,"_407":414},{"_133":411,"_407":412},{"_133":409,"_407":410},{"_133":406,"_407":408},"$light-grey","value","#F3F3F4","$darkgrey","rgba(44, 43, 45, 0.98)","$grey","rgba(47, 47, 48, 0.93)","$green","#2D7E7E","$dark-blue","#3c405d","$primary-color-light","#1ab9b3","$primary-color","#339999","/_static/mediabistro/mb-logo-268x268.webp","/_static/mediabistro/android-chrome-192x192.png","/_static/mediabistro/mediabistro-text-logo.webp",{"_469":470,"_471":472,"_473":474},"navigation",[442,443,444,445,446,447,448,449,450],"logoText","Find your next media job or showcase your creative talent","copyright","Copyright © 2026 Mediabistro",{"_436":437,"_167":441},"termsOfService",{"_436":439,"_167":440},"privacyPolicy",{"_436":437,"_167":438},"type","external-link","/privacy-policy/","internal-link","/terms-of-service","/terms-of-use/",{"_436":439,"_371":467,"_167":468},{"_436":437,"_371":465,"_167":466},{"_436":437,"_371":463,"_167":464},{"_436":437,"_371":461,"_167":462},{"_436":437,"_371":459,"_167":460},{"_436":437,"_371":457,"_167":458},{"_436":437,"_371":455,"_167":456},{"_436":437,"_371":453,"_167":454},{"_436":437,"_371":451,"_167":452},"About","/about/","Creative Tools","https://playbook.mediabistro.com/","Hiring Tips","/employer/blog/","Media News","/media-news/","Career Advice","/career-advice/","Newsletter","https://mediabistro.substack.com/about","Membership","/unlimited/","Hot Jobs","/career-advice/get-hired/hot-jobs/","Job Search","/jobs","whiteLogo","https://www.mediabistro.com/public/site-logos/2025-mb-logo.svg","darkLogo","https://www.mediabistro.com/public/site-logos/2025-mb-logo-dark.svg","logoClasses","w-[210px] h-[50px] lg:mb-1",{"_469":470,"_471":472,"_473":474,"_565":566,"_567":568},"items",[478,479,480],{"_436":520,"_371":521,"_522":523},{"_436":481,"_371":498,"_476":499},{"_436":481,"_371":482,"_476":483},"dropdown","Mediabistro Membership",[484,485,486,487,488],{"_436":277,"_371":497,"_167":464},{"_436":277,"_371":495,"_167":496},{"_436":277,"_371":493,"_167":494},{"_436":277,"_371":491,"_167":492},{"_436":277,"_371":489,"_167":490},"Membership FAQ","/unlimited/frequently-asked-questions/","Courses & Training Programs","/online-training-courses/","Editorial Calendars (Premium Access)","/mastheads/","How to Pitch (Premium Tool)","/career-advice/go-freelance/how-to-pitch/","Membership Overview","Career Resources",[500,501,502,503,504,505,506,507],{"_436":277,"_371":519,"_167":460},{"_436":277,"_371":518,"_167":458},{"_436":439,"_371":516,"_167":517},{"_436":277,"_371":453,"_167":454},{"_436":439,"_371":514,"_167":515},{"_436":277,"_371":512,"_167":513},{"_436":439,"_371":510,"_167":511},{"_436":277,"_371":508,"_167":509},"Member Profiles","/freelance-connect/browse/","Job Market Insights","/trends","Interview Coaching","https://www.wizco.io/ava?utm_source=mediabistro&utm_medium=job_board&utm_campaign=ava_interview_coaching&utm_content=resources_nav","Resume Writing Services","/resume-writing-services/","Media Career Interviews","/media-career-interviews","Media Industry News","Career Advice & Articles","mega-menu","Jobs","columns",[524,525,526],{"_476":557},{"_36":537,"_476":538},{"_36":527,"_476":528},"Quick Links",[529,530,531],{"_436":439,"_371":536,"_167":468},{"_436":439,"_371":534,"_167":535},{"_436":439,"_371":532,"_167":533},"Create Job Alerts","/create-alert","Remote Jobs","/jobs?remote=true","Search All Jobs","Job Categories",[539,540,541,542,543,544],{"_436":439,"_371":555,"_167":556},{"_436":439,"_371":553,"_167":554},{"_436":439,"_371":551,"_167":552},{"_436":439,"_371":549,"_167":550},{"_436":439,"_371":547,"_167":548},{"_436":439,"_371":545,"_167":546},"Writing & Editing","/jobs?category=Writing+%26+Editing","Sales & Business Development","/jobs?category=Sales+%26+Business+Development","Production","/jobs?category=Production","Operations & Strategy","/jobs?category=Operations+%26+Strategy","Marketing & Communications","/jobs?category=Marketing+%26+Communications","Creative & Design","/jobs?category=Creative+%26+Design",[558,559,560,561],{"_436":439,"_371":564,"_167":468},{"_436":277,"_371":465,"_167":466},{"_436":439,"_371":562,"_167":563},{"_436":439,"_371":532,"_167":533},"Remote Media Jobs","/jobs?keyword=media&remote=true","Search Creative Jobs","width",300,"height",64,"fromAddress","support@mediabistro.com","userPasswordResetTemplateId","d-0614cbe7ddf0404893e7c9f8208331d5","clientPasswordResetTemplateId","d-ff1301b464d1436685573e406e4c1674","facebook","https://www.facebook.com/mediabistro","twitter",{"_585":586,"_167":587},"linkedin","https://www.linkedin.com/company/mediabistro","youtube","https://www.youtube.com/channel/UCnoZvx8SmZOMA1XteQAVtMQ","instagram","https://www.instagram.com/mediabistro/","handle","@mediabistro","https://twitter.com/mediabistro","ogImage","https://www.mediabistro.com/public/site-logos/mediabistro-og-2026.webp","faviconSvg","https://www.mediabistro.com/public/favicons/favicon.svg","appleTouch","https://www.mediabistro.com/public/favicons/apple-touch-icon.png","manifest","https://www.mediabistro.com/public/favicons/site.webmanifest","site",[598],{"_599":600},"script:ld+json",{"_601":602,"_603":604},"@context","https://schema.org","@graph",[605,606],{"_601":602,"_607":616,"_133":225,"_617":618,"_167":214,"_619":620},{"_601":602,"_607":608,"_133":225,"_167":214,"_136":589,"_609":610},"@type","Organization","sameAs",[611,612,613,614,615],"https://www.wikidata.org/wiki/Q6806005","https://en.wikipedia.org/wiki/Mediabistro_(website)","https://www.crunchbase.com/organization/mediabistro-inc","https://www.linkedin.com/company/mediabistro/","https://x.com/Mediabistro","WebSite","alternateName","MB","potentialAction",{"_607":621,"_622":623,"_624":625},"SearchAction","target",{"_607":626,"_627":628},"query-input","required name=keyword","EntryPoint","urlTemplate","https://www.mediabistro.com/jobs?keyword={keyword}","gtmId","GTM-NVDRG7Q","home","/","jobs","nameFieldName","name__confirm","validFromFieldName","from__confirm","encryptedValidFrom","kd2oTwBCt1EsouQoT40/k/9NHPZi71/uMULin/tSJ4/RBIh+WojCNEY="]