Senior Machine Learning Engineer - Quality and Merchandising

The Community You Will Join:

Airbnb is powered by our Host and Guest communities. Our team is responsible for building world class ML driven intelligence platforms that power high quality listings and help host better merchandising them to guests.

As key individual contributors in this team you will have the opportunities to drive team directions and partner with key teams across the company such as Search listings Communication & connectivity etc.

The Difference You Will Make:

We are seeking a highly skilled and motivated ML engineer who is looked up to as a ML modeling expert. We are at the early journey of building a company-wide user centric platform and products in a multi-year effort. As a technical leader you will have the unique opportunity to drive multiple years of technical vision and architect an ML driven system which serves to provide intelligence for millions of listings quality and merchandising insights from scratch. You will be in charge of the whole lifecycle of big yet ambiguous problem solving from prototyping to leading a group of talented engineers to deliver high quality work through multiple releases.

A Typical Day:

• Provide critical input and be able to influence technical direction.

• Influence and collaborate with stakeholders to adopt team goals and roadmaps.

• Work with cross functional partners (product managers DS Analytics etc) to design and deliver high-quality systems.

• Design and implement ML models to drive organic bookings and improve user experience

• Lead efforts to architect prototype build and launch solutions for host or listing success.

• Mentor engineers on day to day basis to ensure quality and directions both within and outside of the team

Your Expertise:

• 5+ years of industry experience in applied Machine Learning inclusive MS or PhD in relevant fields.

• Strong programming (Python/Java) and data engineering skills.

• Deep understanding of Machine Learning best practices (eg. training/serving skew minimization A/B test feature engineering feature/model selection) algorithms (eg. gradient boosted trees neural networks/deep learning optimization) and domains (eg. natural language processing personalization and recommendation).

• Experience with 3 or more of these technologies: Tensorflow PyTorch Kubernetes Spark Airflow (or equivalent) Kafka (or equivalent) data warehouse (eg. Hive).

• Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models.

• Exposure to architectural patterns of large high-scale software applications (e.g. well-designed APIs high volume data pipelines efficient algorithms models).

• Prior knowledge of ML Applications in the ranking recommendation or personalization domain is highly desirable

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.