yandex
roku
Страна
США
+500% приглашений

Откликайтесь
на вакансии с ИИ

Ускорим процесс поиска работы
SeniorГибридПолная занятость

Senior Machine Learning Scientist, Advertising

Оценка ИИ

Roku — лидер рынка стриминга с уникальной инженерной культурой. Позиция предлагает работу с передовыми технологиями (Generative AI, RL) и прямое влияние на бизнес-показатели компании, хотя гибридный график может подойти не всем.


Вакансия из Quick Offer Global, списка международных компаний
Пожаловаться

Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованиями к ученой степени (PhD), наличию публикаций и более чем 8-летнему опыту в прикладных исследованиях. Роль предполагает глубокие знания в SOTA Deep Learning и умение решать сложные задачи оптимизации в реальном времени.

Анализ зарплаты

Медиана215 000 $
Рынок175 000 $ – 260 000 $
Оценка ИИ

Зарплата для Senior ML ролей в Остине (Техас) в крупных технологических компаниях обычно находится в диапазоне $180k-$250k базового оклада плюс значительный пакет акций (RSU). Указанные рыночные оценки соответствуют уровню Senior/Staff Scientist в США.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Machine Learning Scientist position at Roku. With over 8 years of experience in applied research and a deep focus on discriminative and generative Deep Learning models, I am excited about the opportunity to contribute to the Advertising Performance group. My background in developing complex optimization systems and conversion modeling aligns perfectly with Roku's mission to innovate within the TV streaming ecosystem.

Throughout my career, I have specialized in bridging the gap between academic research and production-scale ML solutions. I am particularly drawn to this role because of the focus on multi-objective optimization and the application of generative AI for creative ad optimization. I am confident that my technical leadership and experience in statistical modeling will allow me to make an immediate impact on your advertising yield and margin optimization efforts.

+250% к просмотрам

Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в roku уже сейчас

Присоединяйтесь к команде Roku и создавайте будущее рекламных технологий на базе SOTA моделей глубокого обучения!

Описание вакансии

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

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About the role

In this role you will work on applying SOTA research and conduct your own research to develop novel methodologies to solve a large variety of challenging problems in Advertising related to conversion modeling aligned with attribution methodologies/models, calibration, dynamic creative generation and optimization, forecasting and timeseries modeling, yield and margin optimization and Experimentation for A/B and multivariate testing. 

We’re looking for a strong technical leader with a solid grasp of core statistical techniques and deep experience in SOTA Deep Learning discriminative and generative models.

What you’ll be doing

  • Applying research and conducting your own research to build SOTA Deep learning discriminative models
  • Building generative models to generate image and video ads geared towards optimizing performance
  • Stay at the forefront of advancements in related areas

We’re excited if you have

  • PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field
  • 8+ years of experience in applied research using statistical and deep learning techniques
  • Published paper(s) on deep learning models for Advertising or related areas
  • Excellent communication and collaboration skills

Preferred Qualifications

  • Experience in the Advertising domain
  • Contributions to open-source ML projects
#LI-DH2

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.

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 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.

+400% к собеседованиям

Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Machine Learning
  • Deep Learning
  • Reinforcement Learning
  • Generative AI
  • Statistics
  • Applied Mathematics
  • A/B Testing
  • Time Series Analysis
  • Optimization
  • Python

Возможные вопросы на собеседовании

Учитывая фокус команды на рекламных технологиях, важно понимать опыт кандидата в оптимизации ключевых метрик.

Расскажите о вашем опыте разработки моделей прогнозирования конверсии (CVR) и какие методы калибровки вы использовали?

Вакансия упоминает использование генеративных моделей для создания рекламных креативов.

Какие архитектуры генеративных моделей (GAN, Diffusion, etc.) вы бы применили для динамической генерации видеорекламы и как бы вы оценивали их эффективность?

Работа в Roku предполагает работу с высоконагруженными системами с низкой задержкой.

Как вы подходите к оптимизации сложных Deep Learning моделей для инференса в реальном времени в распределенных системах?

Для Senior роли важны навыки проведения экспериментов.

Опишите ваш подход к проектированию многофакторных (multivariate) тестов в условиях сетевых эффектов рекламного аукциона.

Вакансия требует опыта в прикладных исследованиях.

Расскажите о вашей самой значимой публикации или исследовательском проекте: какую проблему вы решали и как это было внедрено в продукт?

Похожие вакансии

более 1000 офферов получено
4.9

1000+ офферов получено

Устали искать работу? Мы найдём её за вас

Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!

roku
Страна
США