Senior Staff Machine Learning Engineer, Communication & Connectivity
Senior Staff Machine Learning Engineer, Communication & Connectivity
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1 Vacancy
Job Description
The Community You Will Join:
We connect Airbnbs community with the right information in the right place at the right time. We tailor Messaging & Notifications so hosts on Airbnb can streamline their operations and travelers get just the information they need to enjoy their stay worry-free.
Additionally we are building new connections within our community to help enrich the experience of hosting & traveling on Airbnb: easing the process of hosting and adding meaning to our guests trips.
The Difference You Will Make:
We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb.
You will architect and implement advanced machine learning solutionsincluding recommendation engines ranking systems intent detection models and the integration of intelligence into existing platforms. Additionally youll lead efforts to harness the power of Large Language Models (LLMs) to create transformative AI experiences.
Many of the initiatives youll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production turning visionary concepts into impactful realities. You will be leading ML Data and Product engineers to drive ML applications.
A core focus of your work will be spearheading Machine Learning applications in Messaging and Notificationa high-impact area with significant potential to enhance guest and host experiences at Airbnb.
A Typical Day:
- Envision champion and support the development of novel ML systems product integrations and performance optimizations to solve real-world problems
- Lead mentor challenge and grow enthusiastic collaborative software engineers and applied scientists across the organization
- Raise the AI/ML skillset within the organization. A passion for teaching/mentoring is important.
Your Expertise:
- 12 years of software engineering experience with 2 years of experience in a Principal or Senior Staff Engineer role having ownership responsibility over large-scale software systems
- Background in the design and development of scalable AI and ML systems and services and a deep passion for building ML-powered products
- Youre an inspiring colleague a coach and mentor with experience owning and fostering engineering maturity in multiple organizations.
- Youre a builder and implementer who seeks out high impact work and who is: proactive curious and an excellent communicator
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: . Please include your full name the role youre 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.
Required Experience:
Staff IC
Employment Type
Full-Time
