Senior Machine Learning Engineer

Role Description

The Community You Will Join:

• The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform.
• Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives.

The Difference You Will Make:

• We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency.
• Leverage rich signals from various types of data (structured, sequential, image, text, etc) at Airbnb.
• Collaborate closely with teams across Airbnb to develop the ranking solutions and support a healthy marketplace for hosts and guests.

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

Qualifications

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

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

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.
• We strive to provide a disability inclusive application and interview process.
• If you are a candidate with a disability and require reasonable accommodation, please contact us at View email address on remotive.com.

Benefits

• Base pay range: $191,000 — $225,000 USD.
• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.