Airbnb

StaffMachineLearningEngineer,RelevanceandPersonalization

$212–265k United States Remote Friendly
The Brief

“Staff Machine Learning Engineer, Relevance and Personalization at Airbnb. Skills: Machine Learning, ranking algorithms, data pipelines, feature engineering, model development, productionizing Machine Learning models. developing end-to-end ranking algorithms and ecosystems. optimizing multiple critical business objectives”

What You'll Achieve.

optimizing multiple critical business objectives; quantify impact

Industry & Context.

Problems you'll solve

optimization; anomaly detection

Eligibility Requirements

must live in a state where Airbnb, Inc. has a registered entity

What They're Looking For.

Must Have

9+ years of industry experience in applied Machine Learning, programming (Scala / Python / Java / C++ or equivalent), data engineering skills, Deep understanding of Machine Learning best practices, algorithms (eg. neural networks/deep learning, optimization), domains (eg. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection), 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, Experience with test driven development, familiar with A testing, incremental delivery and deployment

Nice to Have

MS or PhD in relevant fields, Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive), familiar with A testing, incremental delivery and deployment

What You'll Do.

developing end-to-end ranking algorithms and ecosystems

optimizing multiple critical business objectives

build and continuously improve cutting edge Machine Learning models

identify opportunities for business impact

and prioritize requirements for machine learning models

drive engineering decisions

and operate Machine Learning models and pipelines at scale

enable fast model development

ease of model quality upkeep

How You'll Work.

Team & Collaboration

collaborate closely with teams across Airbnb; Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists

Communication Scope

communication

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