Machine Learning Engineer, Relevance and Personalization

Details

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.

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 with respect to data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential, image, text, etc.). We collaborate closely with teams across Airbnb to develop ranking solutions and support a healthy marketplace for hosts and guests. Some past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home

Responsibilities

• Work with large-scale structured and unstructured data and build and continuously improve cutting-edge machine learning models for Airbnb product, business and operational use cases.
• Collaborate with cross-functional partners including software engineers, product managers, operations and data scientists to identify opportunities for business impact, refine and prioritize requirements for ML models, drive engineering decisions, and quantify impact.
• Hands-on develop, productionize, and operate ML models and pipelines at scale for both batch and real-time use cases.
• Leverage third-party and in-house ML tools & infrastructure to develop reusable, high-performing ML systems that enable fast model development, low-latency serving, and ease of model quality upkeep.

Requirements / Your Expertise

• New grad Ph.D in ML/AI OR 2+ years of industry experience in applied ML/AI with an M.S. or B.S. degree.
• Strong programming skills (Scala / Python / Java / C++ or equivalent) and data engineering skills.
• Deep understanding of ML best practices (e.g., training/serving skew minimization, A/B testing, feature engineering, feature/model selection), 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 (well-designed APIs, high-volume data pipelines, efficient algorithms/models).
• Proven ability to choose the right ML method within current constraints while having a clear vision of next iterations and balancing exploration and exploitation of techniques.
• Ability to go deep and build impactful solutions while also leading multiple directions across teams and organizations.

Location

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with your manager. You must live in a state where Airbnb, Inc. has a registered entity (see the up-to-date list at https://careers.airbnb.com/ for excluded states). If your position is employed by another Airbnb entity, your recruiter will inform you of eligible states.

Compensation

Base pay range: $157,000—$185,000 USD. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. The actual base pay depends on factors such as training, transferable skills, work experience, business needs and market demands.

Our Commitment to Inclusion & Accessibility

Airbnb is committed to working with a broad talent pool and fostering inclusion. We strive to provide a disability-inclusive application and interview process. If you require reasonable accommodation to submit an application, contact [email protected] with your full name, the role you’re applying for, and the accommodation necessary.