Senior · Удалённо · Сан-Франциско, США · Английский B2
Навыки
Внимание к деталям
Анализ данных
Machine Learning
Решение задач
Python
О компании и продукте
As a Senior Machine Learning Engineer, you will be a part of Airbnb's innovative pricing guidance team. Our team is a diverse group of engineers, data scientists, and product managers who are dedicated to creating optimal pricing models for our hosts. We work closely with product engineers, designers, and other cross-functional partners to ensure our models are effective, user-friendly, and contribute to the success of our hosts.
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
Задачи
In this role, you will be responsible for developing and refining machine learning models for pricing recommendations, with a particular focus on reinforcement learning techniques
Success in this role will be measured by the accuracy and effectiveness of these models, and their impact on host success rates
You will also be involved in project planning and prioritization, ensuring that our team's efforts align with Airbnb's broader strategic goals
A Typical Day
Collaborating with data scientists and product managers to understand project requirements and desired outcomes
Developing, testing, and refining machine learning models, particularly reinforcement learning models, for pricing recommendations
Analyzing model performance and making necessary adjustments
Presenting findings and progress updates to team members and stakeholders
Working with product engineers and designers to integrate models into user-friendly tools for hosts
Требования
5+ years of experience in machine learning engineering
Proven experience in developing and implementing machine learning models, preferably reinforcement learning models
Strong knowledge of Python, or other relevant programming languages
Familiarity with data analysis and visualization tools
Excellent problem-solving skills and attention to detail
Ability to work effectively in a team and communicate complex ideas clearly
Experience in the hospitality industry or with pricing models would be a plus
Must be authorized to work in the specified location
Occasional travel may be required
Experience with Airbnb's platform and tools would be beneficial
Your Location
This position is US - Remote Eligible
The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager
While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity
This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list
If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from
Условия
Our job titles may span more than one career level
The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands
The base pay range is subject to change and may be modified in the future
This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits
Pay Range
196,000 — $227,000 USD
Паспорт вакансии
История публикации
Появилась в Вакандии30 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 30 дней назад
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ГрейдSeniorвычитано из текста вакансии
Формат работыУдалённо
ГеографияСан-Франциско, СШАвычитано из текста вакансии
Зарплата≈ 19 058 USD в месяцнаша оценка, в вакансии не названа
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки работодателя нет, показана наша оценка
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greenhouseОсновная публикация · 2026-07-17
A
Работодатель
Airbnb
50 активных вакансий · вилка работодателя указана в 6%