Full-Time

Staff Machine Learning Engineer

Relevance

Posted on 9/27/2024

Airbnb

Airbnb

10,001+ employees

Online marketplace for lodging and experiences

Government & Public Sector
Real Estate

Compensation Overview

$212k - $270kAnnually

+ Bonus + Equity + Benefits + Employee Travel Credits

Expert

Company Historically Provides H1B Sponsorship

United States

Occasional in-office work required; must reside in a state where Airbnb, Inc. has a registered entity.

Category
Applied Machine Learning
Deep Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Kubernetes
Python
Airflow
Tensorflow
Pytorch
Apache Spark
Apache Kafka
Java
Scala
Natural Language Processing (NLP)
C/C++
Computer Vision
Requirements
  • 9+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
  • 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. neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection)
  • Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive)
  • Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models
  • 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.
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.
  • 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.
  • Hands-on develop, productionize, and operate Machine Learning 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.

Airbnb operates an online marketplace that connects travelers with hosts offering lodging and unique tourism experiences. The platform allows hosts to list their properties, which can range from single rooms to entire homes, enabling guests to book accommodations that provide a more authentic local experience. Airbnb earns revenue through a commission system, taking a percentage from each booking made on its platform. With a presence in nearly every country and over 5 million hosts, Airbnb has facilitated more than 1.5 billion guest arrivals. Additionally, the platform offers various local experiences organized by hosts, enriching the travel experience for guests.

Company Stage

IPO

Total Funding

$3.7B

Headquarters

San Francisco, California

Founded

2007

Growth & Insights
Headcount

6 month growth

17%

1 year growth

40%

2 year growth

77%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnerships with UNESCO and Surf Life Saving Australia boost Airbnb's brand image.
  • AI-driven personalization enhances user experience and platform engagement.
  • Cultural Ambassador Program in Bali attracts culturally inclined travelers and hosts.

What critics are saying

  • Legal challenges in Europe over unlicensed accommodations could lead to fines.
  • Cybercriminals using Airbnb for fraud highlight potential platform security issues.
  • Expansion into AI and data collection may raise privacy and regulatory concerns.

What makes Airbnb unique

  • Airbnb offers unique stays, enhancing travel experiences beyond traditional hotels.
  • The platform connects hosts and guests globally, facilitating diverse cultural exchanges.
  • Airbnb's commission-based model incentivizes hosts to list unique properties.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Comprehensive health plans

Paid volunteer time

Healthy food and snacks

Generous parental and family leave

Learning and development

Annual travel and experiences credit

INACTIVE