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Senior Staff Machine Learning Engineer, Growth Platform Engineering

3 hours, 27 minutes ago
United States
Full-time
Lead
Machine Learning Engineer
Software Development
Agile Apache Airflow C++ Computer Vision Deep Learning Feature Engineering Java Kafka Kubernetes Machine Learning Neural Networks NLP Python PyTorch Scala TensorFlow
Apply Now
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 109

Description

  • Develop AI-powered solutions and guide engineers in designing and building AI products and features from inception to production.
  • Build resilient systems that operate globally at scale and support the foundational architecture behind AI-powered growth systems.
  • Work with large-scale structured and unstructured data to explore, experiment, and improve machine learning models and pipelines.
  • Collaborate with product managers, operations, data scientists, and other cross-functional partners to identify business opportunities and prioritize ML requirements.
  • Productionize and operate machine learning and AI models and pipelines for both batch and real-time use cases.
  • Leverage third-party and in-house ML tools and infrastructure to create reusable, high-performing ML systems.
  • Support engineers in applying ML/AI to their solutions and help validate ideas and outcomes.
  • Mentor ML/AI engineers and help build ML/AI capability across the broader engineering organization.
  • Design AI agent and automation use cases such as personalized content generation, marketing decisioning, and proactive campaign discovery.

Requirements

  • 12+ years of industry experience in applied ML/AI, including an MS or PhD in a relevant field.
  • Strong programming experience in Scala, Python, Java, C++, or equivalent languages.
  • 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.
  • Experience with ML/AI algorithms such as gradient boosted trees, neural networks/deep learning, and optimization.
  • Knowledge of domains such as natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, or anomaly detection.
  • Experience with TensorFlow, PyTorch, Kubernetes, Airflow or equivalent, and Kafka or equivalent.
  • Expertise in architectural patterns for large, high-scale software applications, including well-designed APIs, high-volume data pipelines, efficient algorithms, and models.
  • Preferred: Experience with AI technologies for automating processes and developing agentic solutions and frameworks.
  • Preferred: Experience taking AI products from incubation to production at scale using agile practices in applied AI/ML.
  • Preferred: Experience building testing frameworks for agent behavior validation and continuous improvement, and driving ML infrastructure architecture.

Benefits

  • US-remote eligible, with occasional office visits or offsites as needed.
  • Base pay range of $244,000 to $305,000 USD.
  • Eligible for bonus.
  • Eligible for equity.
  • Eligible for benefits.
  • Eligible for Employee Travel Credits.

Interested in this position?

Apply directly on the company website

Apply Now

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