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Senior Staff Machine Learning Engineer, Infrastructure

2 hours, 34 minutes ago
United States
Full-time
Lead
Machine Learning Engineer
Software Development
Apache Airflow Apache Spark C++ Computer Vision Deep Learning Feature Engineering Generative AI Hive Java Kafka Kubernetes Machine Learning Microservices Neural Networks NLP Python PyTorch Scala TensorFlow
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Airbnb

Airbnb

Airbnb is the world's largest community-driven hospitality company, offering homes and experiences in 191 countries. It is an online marketplace connecting people to unique accommodations and experiences globally.

Hotels, Restaurants & Leisure
5K-10K
Founded 2008
View All Jobs 145

Description

  • Work with large-scale structured and unstructured data to build and continuously improve machine learning models for product, business, and operational use cases.
  • Collaborate with software engineers, product managers, operations, and data scientists to identify business opportunities, refine requirements, and prioritize ML work.
  • Drive engineering decisions and quantify the impact of machine learning initiatives.
  • Develop, productionize, and operate ML/AI models and pipelines at scale for both batch and real-time use cases.
  • Leverage third-party and in-house ML/AI tools and infrastructure to build reusable, high-performing machine learning systems.
  • Enable fast model development, low-latency serving, and ongoing model quality maintenance.
  • Define, implement, and champion best practices for data asset creation, management, and utilization.
  • Build the AI/ML data foundations that support diverse AI/ML use cases across Airbnb.
  • Contribute to projects such as feature platforms, model interpretability, hyperparameter optimization, and concept drift detection.

Requirements

  • 12+ years of industry experience in applied ML/AI, including an MS or PhD in a relevant field.
  • Strong programming skills in Scala, Python, Java, C++, or equivalent.
  • Strong data engineering skills.
  • Deep understanding of ML/AI best practices such as training/serving skew minimization, A/B testing, feature engineering, and feature/model selection.
  • Deep knowledge of ML/AI algorithms and domains such as neural networks, deep learning, optimization, NLP, computer vision, personalization, search and recommendation, marketplace optimization, and anomaly detection.
  • Experience with 3 or more of the following technologies: TensorFlow, PyTorch, Kubernetes, Spark, Airflow or equivalent, Kafka or equivalent, and data warehouses such as Hive.
  • Industry experience building end-to-end ML/AI infrastructure and/or productionizing ML models.
  • Exposure to architectural patterns for large-scale software applications, including well-designed APIs, high-volume data pipelines, efficient algorithms, and models.
  • Experience with test-driven development, A/B testing, incremental delivery, and deployment.
  • Experience building end-to-end AI/ML platforms and deploying production-grade AI/ML models.
  • Familiarity with state-of-the-art LLMs such as Llama, Mixtral, CLIP, and the Qwen series.
  • Hands-on experience developing RAG platforms, leaderboards, chatbots, and agentic AI applications.
  • Expertise in AI/ML governance, compliance, and regulatory frameworks.
  • US remote eligibility, with occasional office or offsite attendance and residence in a state where Airbnb has a registered entity.

Benefits

  • Base salary range of $248,000 to $310,000 USD.
  • Eligibility for bonus.
  • Eligibility for equity.
  • Eligibility for benefits.
  • Eligibility for Employee Travel Credits.
  • Remote-eligible work arrangement in the US.
  • Occasional office or offsite attendance as agreed with the manager.

Interested in this position?

Apply directly on the company website

Apply Now

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