Senior Machine Learning Engineer, Supply & Insights DnA

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 Supply & Insights Data and AI team provides rich, high-quality data assets to power insights that enable Airbnb and our hosts to be competitive in our marketplaces. The team is composed of Engineers specializing in Data, Analytics, Backend and Machine Learning, and we work closely with a wide range of teams across the company, including Data Science, Strategic Finance, Sales Operations, and Product Engineering in order to see our work through to business impact.

The Difference You Will Make

There is a huge opportunity to improve the Host and Guest experience by leveraging open source, third party, and home-grown ML models. As an ML engineer, you will partner closely with Data Science and Product partners, and other ML, Data, and Analytics Engineers to execute on these opportunities and improve the Host and Guest product experience on Airbnb.

Responsibilities

• 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.
• Collaborate with cross-functional partners including Software Engineers, Product Managers, Data Scientists, and Operations to identify opportunities for business impact.
• Understand, refine, and prioritize requirements for ML models; drive engineering decisions and quantify business impact.
• Prototype machine learning use cases for product and iterate on requirements with stakeholders.
• Develop, productionize, and operate ML models and pipelines at scale for both batch and real-time use cases.
• Design and build services and APIs to enable serving ML-driven data to product use cases.

Requirements / Your Expertise

• 5+ years of industry experience in applied machine learning; MS or PhD in a relevant field is common.
• Strong programming skills in Scala, Python, Java, C++ or equivalent, and solid data engineering skills.
• Deep understanding of ML best practices (training/serving skew minimization, A/B testing, feature engineering, feature/model selection) and algorithms (gradient boosted trees, neural networks/deep learning, optimization, state-of-the-art NLP and CV algorithms).
• Experience in domains such as natural language processing, computer vision, personalization/recommendation, and anomaly detection.
• Experience with 3 or more of these technologies: TensorFlow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), data warehouse technologies (e.g., Hive).
• Industry experience building end-to-end ML infrastructure and/or productionizing ML models and integrating them with product use cases.
• Exposure to architectural patterns of large, high-scale software applications (well-designed APIs, high-volume data pipelines, efficient algorithms/models).
• Familiarity with test-driven development, A/B testing, incremental delivery, and deployment.

Location & Work Arrangement

• 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.
• Candidates must live in a state where Airbnb, Inc. has a registered entity (some states are excluded; see Airbnb careers for the up-to-date list).

Our Commitment to Inclusion & Belonging

Airbnb is committed to working with a broad talent pool. Diverse ideas foster innovation and engagement. All qualified individuals are encouraged to apply.

If you are a candidate with a disability and require reasonable accommodation in order to submit an application, contact [email protected] with your full name, the role you’re applying for, and the accommodation required.

Compensation & Benefits

• Base pay range: $191,000—$223,000 USD (actual base pay depends on factors such as training, transferable skills, work experience, business needs, and market demands).
• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.