Note: The job is a remote job and is open to candidates in USA. Airbnb is a global leader in the hospitality industry, connecting millions of hosts and guests. They are seeking a Senior Staff Machine Learning Engineer to develop AI-powered solutions that enhance their growth platform, collaborating with cross-functional teams to create innovative products and features.
Responsibilities
- As a machine learning engineer or scientist, your expertise will be pivotal in developing AI-powered solutions to shape the future of the Airbnb agentic growth platform with cutting-edge AI techniques
- You will drive and guide the rest of the engineers to brainstorm, design and develop AI products and features from inception to production
- You’ll collaborate with cross-functional leaders, build resilient systems that operate globally at scale, and help evolve the foundational building blocks behind AI-powered growth systems
- Work with large scale structured and unstructured data; explore, experiment, build and continuously improve Machine Learning models and pipelines for Airbnb product, business and operational use cases
- Work collaboratively with cross-functional partners including product managers, operations and data scientists, to identify opportunities for business impact; understand, refine, and prioritize requirements for machine learning, and drive engineering decisions
- Hands-on develop, productionize, and operate ML/AI 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, enable fast model development, low-latency serving and ease of model quality upkeep
- Collaborate actively with engineers to apply ML / AI in their solutions to help validate ideas and guide to the right outcomes
- Partner with ML/AI Engineers in foundations engineering to mentor and develop initiatives that make ML/AI applications a core discipline for non-ML/AI engineers
Skills
- 12+ years of industry experience in applied ML/AI, inclusive MS or PhD in relevant fields
- Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills
- Deep understanding of ML/AI best practices (e.g. training/serving skew minimization, A/B test, 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)
- Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection) and algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization)
- Experience with technologies such as: Tensorflow, PyTorch, Kubernetes, Airflow (or equivalent), Kafka (or equivalent)
- Expertise with architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
- Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and frameworks
- Agile Practice for AI Production: Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain
- Infrastructure Acumen: Experience building robust testing frameworks for agent behavior validation and continuous improvement, and driving architectural requirements on ML infrastructures
Benefits
- Bonus
- Equity
- Benefits
- Employee Travel Credits
Company Overview
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