Full-Time

Staff Machine Learning Engineer

Payments

Posted on 9/5/2024

Airbnb

Airbnb

10,001+ employees

Online marketplace for lodging and experiences

Government & Public Sector
Real Estate

Compensation Overview

$204k - $259kAnnually

+ Bonus + Equity + Benefits + Employee Travel Credits

Expert

Company Historically Provides H1B Sponsorship

United States

Must live in a state where Airbnb, Inc. has a registered entity.

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Kubernetes
Python
Tensorflow
Data Structures & Algorithms
Pytorch
Apache Spark
Apache Kafka
Java
Apache Hive
Natural Language Processing (NLP)
Requirements
  • 9+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.
  • Strong programming (Python/Java) 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) and domains (eg. natural language processing, personalization and recommendation).
  • 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 large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models).
  • Prior knowledge of ML Applications in the Payments domain is highly desirable.
Responsibilities
  • Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.
  • 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.
  • Lead, mentor, challenge and grow enthusiastic, collaborative AI/ML culture within the organization.

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, Airbnb has facilitated over 1.5 billion guest arrivals through a network of more than 5 million hosts. Additionally, the platform offers various local experiences organized by hosts, allowing guests to engage in activities that enhance their travel adventures.

Company Stage

IPO

Total Funding

$3.7B

Headquarters

San Francisco, California

Founded

2007

Growth & Insights
Headcount

6 month growth

2%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for eco-friendly travel aligns with Airbnb's promotion of sustainable listings.
  • AI integration can enhance guest experiences and streamline Airbnb's operations.
  • Remote work trends increase demand for long-term stays, benefiting Airbnb's flexible offerings.

What critics are saying

  • Legal scrutiny in Spain may lead to fines or operational restrictions for Airbnb.
  • Departure of key legal executive could impact Airbnb's legal strategy and operations.
  • Pressure to innovate with AI and AR could challenge Airbnb's competitive edge.

What makes Airbnb unique

  • Airbnb offers unique stays and experiences, setting it apart from traditional hotels.
  • The platform's global reach allows access to diverse and authentic local accommodations.
  • Airbnb's commission-based model incentivizes hosts to list a wide range of properties.

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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