Machine Learning Engineer, Relevance and Personalization

Role Description

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.

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, leveraging rich signals from various types of data (structured, sequential, image, text, etc) at Airbnb. We collaborate closely with teams across Airbnb to develop the ranking solutions and support a healthy marketplace for hosts and guests to further Airbnb’s mission of creating a world where people can Belong Anywhere.

A typical day includes:

• Working with large scale structured and unstructured data.
• Building and continuously improving cutting edge Machine Learning models for Airbnb product, business and operational use cases.
• Collaborating with cross-functional partners including software engineers, product managers, operations and data scientists.
• Identifying opportunities for business impact, understanding, refining, and prioritizing requirements for machine learning models.
• Driving engineering decisions and quantifying impact.
• Hands-on developing, productionizing, and operating Machine Learning models and pipelines at scale, including both batch and real-time use cases.
• Leveraging third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems.

Qualifications

• New grad Ph.D in ML/AI or 2+ years of industry experience in applied ML/AI with a M.S. or B.S degree.
• Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.
• Deep understanding of Machine Learning best practices (e.g. training/serving skew minimization, A/B test, feature engineering, feature/model selection).
• Familiarity with algorithms (e.g. neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection).
• Exposure to 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (e.g. Hive).
• Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models).
• Proven ability to choose the right ML method to solve the problem within current constraints.
• Ability to go deep and build the most impactful solutions while also leading multiple directions across multiple teams and organizations.

Requirements

• 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.

Benefits

• Base pay range: $166,000 — $195,000 USD.
• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Company Description

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.