Senior Software Engineer, ML Infrastructure - Training at Airbnb

, , United States -

Full Time

Start Date

Immediate

Expiry Date

22 Apr, 26

Salary

225000.0

Posted On

22 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI, Python, Java, Distributed Systems, Pytorch, Tensorflow, Ray, Llama-Factory, Verl, Airflow, Spark, Docker, Kubernetes

Industry

Software Development

Description

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: reasonableaccommodations@airbnb.com. 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

Responsibilities

You will help build tools that form the foundation for ML & AI at Airbnb, contributing to a scalable shared platform for ML design and development. Additionally, you will work on creating GenAI infrastructure to enhance AI integration in the business.