Full-Time

Senior Staff Machine Learning Engineer

Security

Confirmed live in the last 24 hours

Airbnb

Airbnb

10,001+ employees

Online marketplace for lodging and experiences

Real Estate
Consumer Goods

Compensation Overview

$244k - $304kAnnually

+ Bonus + Equity + Benefits + Employee Travel Credits

Senior, Expert

Company Historically Provides H1B Sponsorship

United States

Occasional work at an Airbnb office or attendance at offsites may be required.

Category
Applied Machine 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
Data Analysis
Requirements
  • 12+ years of industry experience in applied Machine Learning
  • A Bachelor’s, Master’s, or PhD in CS/ML or related field
  • 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) 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), 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.
  • Experience with Information Security or similar domains.
  • Strong written and verbal communication skills.
Responsibilities
  • Support, scale, and advance security or related functions through practical applied uses of data analytics, ML models, and integration of genAI and LLM models from past experience at equivalent size, scope, scale, and technically complex companies comparable to Airbnb.
  • Provide strategic approaches and methodologies to advance security disciplines working with large scale structured and unstructured data, build, and continuously improve cutting edge Machine Learning models for these disciplines.
  • Continuously identify, drive, and support opportunities where Information Security disciplines can benefit from your area of expertise. Work collaboratively with cross-functional partners including software engineers, product managers, operations, and data scientists to do so.
  • Work through ambiguity to detailed solutions. You can and support others to take a vague problem, crisply frame the challenge, what’s being solved for, identify a path forward, and drive an initiative over the finish-line.
  • You have a demonstrated ability to see the interconnectedness of not only the immediate problem you’re solving for, but also those of other organizations to unify cross-functional stakeholders to deliver solutions that are best for Airbnb vs. a single business unit.
  • Self-motivated, proactive and proven ability to adapt well and work with teams having different operating cadences and breadth of subject matter backgrounds.
  • Provide sound business judgment, a proven ability to influence others, strong analytical skills, and a track record of taking ownership, leading data driven analyses, and influencing results.
  • Develop processes where little exists across large organizations, and demonstrated flexibility to get things done.
  • Drive technology changes to improve capabilities to protect Airbnb in your area of expertise.

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 of each booking made on its platform. With a presence in nearly every country, Airbnb has facilitated over 1.5 billion guest arrivals through its 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

21%

1 year growth

47%

2 year growth

73%
Simplify Jobs

Simplify's Take

What believers are saying

  • Airbnb's continuous innovation and strategic partnerships, such as with Allegion, enhance its platform's security and user experience.
  • The company's high-profile involvement in events like the Paris Olympics and AI Innovation Awards boosts its brand visibility and market influence.
  • Significant investments, like the $515,000 from Revolve Wealth Partners LLC, indicate strong investor confidence and financial stability.

What critics are saying

  • Regulatory challenges, such as Barcelona's ban on short-term rentals, could significantly impact Airbnb's market presence in key cities.
  • High turnover in executive roles, as seen with former executives joining Skipify, may lead to strategic misalignments and operational disruptions.

What makes Airbnb unique

  • Airbnb's unique and diverse property listings, such as the 'Most Unique BNB in Louisiana,' set it apart from traditional hotel accommodations.
  • The company's strategic partnerships, like the smart lock integration with Allegion, enhance the user experience and security, distinguishing it from other short-term rental platforms.
  • Airbnb's involvement in high-profile events like the Paris Olympics and AI Innovation Awards highlights its commitment to innovation and market presence.

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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