Airbnb

Staff Machine Learning Engineer, Listings and Host Tools – Data and AI

Airbnb

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $204,000 - $255,000 per year

Job Level

Lead

Tech Stack

AirflowJavaKubernetesPythonPyTorchScalaSparkTensorflow

About the role

  • 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.
  • Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
  • Prototype machine learning use cases for use in the product, and work with stakeholders to iterate on requirements.
  • Develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
  • Design and build services, API to enable serving ML model driven data to product use cases.

Requirements

  • 8+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.
  • Must have experience in both Natural Language Processing and Computer Vision.
  • Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills
  • Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization, state-of-art NLP and CV algorithms) and domains (eg. natural language processing, computer vision, personalization and recommendation, anomaly detection)
  • Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), data warehouse (eg. Hive)
  • Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models, as well as integrating to product use cases.
  • Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
  • Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.
Benefits
  • Bonus
  • Equity
  • Benefits
  • Employee Travel Credits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Machine LearningNatural Language ProcessingComputer VisionScalaPythonJavaC++TensorflowPyTorchSpark
Soft skills
collaborationcommunicationproblem-solvingprioritizationengineering decision-making
Certifications
MSPhD