Senior Machine Learning Engineer, Marketing Technology

The Community You Will Join:
Marketing Technology is a platform team in Airbnb with the goal of delivering the best-in-class marketing technology for our stakeholders across the company including Marketing (Brand and Performance), Guest Experience, Host, Policy, and more. Our Mission is to enable both marketing and product teams to effectively deliver highly personalized and relevant marketing campaigns to the Airbnb community, both on-site and off-site.
The Difference You Will Make:
As a Senior Software Engineer in Marketing Technology, you will be responsible for using AI/ML to improve Airbnb marketing performance. Projects will range from personalized listing/destination recommendation in marketing campaigns to future-looking strategies on generative AI.
A Typical Day:
? Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
? Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
? Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
? Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.
Your Expertise:
? 5-9+ years of industry experience with a BS/Masters and 2+ years with a PhD.
? Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills.
? Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection) and algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization).
? Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models
? Hands on experience with large language models is preferred, i.e. BERT, LaMDA, GPT-2/3/4, LLaMa
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. Click here for the up-to-date list of excluded states. 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.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [email protected]. Please include your full name, the role you?re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
How We'll Take Care of You:
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: $185,000?$221,000 USD