Senior Staff Machine Learning Engineer - Relevance

The Community You Will Join:

The Relevance and Personalization team at Airbnb is responsible for search and personalization across the entire Airbnb digital platform. Be a leader in the team working on critical impactful projects with focus on search ranking recommendations autocomplete query understanding and Airbnb’s ranking platform. We collaborate closely with teams across Airbnb to customize the guest search experience and support a healthy marketplace for hosts and guests to further Airbnb’s mission of creating a world where people can Belong Anywhere. We work on all parts of the ML stack from analyzing search usage to running controlled experiments building models writing data pipelines and implementing updates to the online search service.

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.

• Example projects include: feature platform model interpretability hyperparameter optimization concept drift detection.

Your Expertise:

• 12+ years of industry experience in applied Machine Learning

• A Bachelor’s Master’s or PhD in CS/ML or related field

• Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills

• 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 a large high-scale software applications (e.g. well-designed APIs high volume data pipelines efficient algorithms models)

• Experience with test driven development familiar with A/B testing incremental delivery and deployment.

• Ability to go deep and build the most impactful solutions while also leading multiple directions across multiple teams and organizations to ensure the success of our mission.

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.