Airbnb Logo

Airbnb

Senior Software Engineer, ML Infrastructure - Training

Posted 13 Hours Ago
Remote
Hiring Remotely in United States
191K-225K Annually
Senior level
Remote
Hiring Remotely in United States
191K-225K Annually
Senior level
The role involves building tools for ML and AI at Airbnb, developing infrastructure for ML engineers, and creating scalable GenAI experiences.
The summary above was generated by AI

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

At Airbnb, our mission is to create a world where anyone can belong anywhere. We use Machine Learning extensively to create a more connected, empowered, and safer global community and enable an intelligent & worry-free travel experience.

The Difference You Will Make:

In this role, you’ll help us build a suite of tools which together form the foundation with which ML & AI is created at Airbnb. You will contribute to creating a scalable shared platform that accelerates the pace of Machine Learning/GAI design & development and the deployment of impactful, high-quality ML use cases company-wide. You’ll also join us in creating the GenAI infrastructure that will make AI the center of our business.

A Typical Day: 

  • Work side-by-side with customer teams including Customer Support, Search Relevance, Trust & Safety to deliver high-impact product wins
  • Develop platform and infrastructure to help ML engineers to finetune LLM models, to training pytorch / tensorflow models
  • Build scalable GenAI experience to support the fast evolving needs of Airbnb teams using foundational language / vision models to power next-gen product experiences
  • Use OSS technologies such as Ray, Verl, Llama-Factory, Tensorflow, PyTorch, Airflow, Spark, Docker, Kubernetes, etc.

Your Expertise:

  • 5+ years of industry experience (and/or relevant academic experience)
  • Solid understanding of engineering and infrastructure best practices
  • Strong coding skills in Python/Java or equivalent
  • Strong Experience and knowledge of distributed systems
  • Industry experience building end-to-end Machine Learning or GAI Platforms is a plus
  • Experience developing and productionizing machine learning models is a plus
  • Experience with Ray, Pytorch, Llama-factory, Verl  is a plus

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [email protected]. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.  

Pay Range
$191,000$225,000 USD

Top Skills

Airflow
Docker
Java
Kubernetes
Llama-Factory
Python
PyTorch
Ray
Spark
TensorFlow
Verl

Airbnb New York, New York, USA Office

627 Broadway, New York, NY, United States, 10012

Similar Jobs

38 Minutes Ago
Remote or Hybrid
United States
67K-124K Annually
Junior
67K-124K Annually
Junior
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Compensation Analyst will manage global compensation programs, conduct data analysis, support annual reviews, and ensure compliance while providing guidance on compensation recommendations.
Top Skills: ExcelServicenowWorkday
38 Minutes Ago
Remote or Hybrid
2 Locations
126K-234K Annually
Expert/Leader
126K-234K Annually
Expert/Leader
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The RVP will oversee a team of strategic sales professionals, manage revenue goals, support the sales cycle, and enhance client relationships while driving team growth.
38 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
85K-110K Annually
Senior level
85K-110K Annually
Senior level
Fintech • Insurance • Machine Learning • Other • Analytics • Financial Services • Automation
The Senior Claims Adjuster manages complex workers' compensation claims, ensures compliance, delivers customer service, and identifies mitigation opportunities.
Top Skills: G-Suite ToolsSlack

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account