Staff Software Engineer, Airbnb
ML Infrastructure
$200-254k
Community marketplace for holiday accomodation
Job no longer available
Community marketplace for holiday accomodation
1001+ employees
Job no longer available
$200-254k
1001+ employees
Company mission
To create a world where anyone can belong anywhere.
Role
Who you are
- 9+ 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 Platforms is a plus
- Experience developing and productionizing machine learning models is a plus
- Experience with Kubernetes, Spark, Docker, Airflow and stream processing technologies such as Flink is a plus
- Practical experience developing applications using Open AI’s GPT, and a sound understanding of various versions of GPT (and other models) and Open AI APIs is a plus
- Experience in fine tuning and serving OSS LLM models such as LLAMA 2, Mistral, etc is a plus
What the job involves
- In this role, you’ll help us build the ML & AI Platform for Airbnb - the central tools & infrastructure that powers use cases across the company - ranging from Guest & Host, Search Ranking & Relevance, Trust & Safety, Community Support, Payments and more
- You’ll work side-by-side with partner teams to deliver high-impact product wins. You’ll also join us in evolving Airbnb into an AI-first company by pioneering the area of GenAI infrastructure
- Build Framework/cloud-agnostic advanced Infra to meet GenAI demands so that Airbnb can: consolidate diverse Large Foundation Model services; enforce Airbnb policies for trustworthy and seamless integration; provide the most performant training and serving capabilities; and hasten fine-tuning, benchmarking, evaluation & intuitive prompt engineering - to foster Airbnb AI innovation and efficiency
- Build and optimize scalable batch and streaming computing systems to power ML Feature Engineering for state-of-the-art ML models, leveraging leading edge frameworks, innovative algorithms, techniques and hardware available. Build and optimize scalable and efficient backbones of Data Centric AI including but not limited to embedding platform and AI/ML observability
- Create scalable human & AI-powered labeling infrastructure to power data-driven product features (e.g. Categories), ML modeling, and GenAI fine tuning / RLHF - smoothly integrating humans and AI in the most effective way
- Create highly optimized ML & AI Training, Fine Tuning and Serving infrastructure, leveraging the latest in hardware & software enhancements to deliver world-class performance for Airbnb’s demanding applications
- Create the ML/AI Workflow automation, orchestration, and metadata tracking layer that increases productivity and quality of the 300+ ML Engineers and Data Scientists who rely on us
- Use OSS technologies such as Ray, MLFlow, Tensorflow, PyTorch, LangChain, Airflow, Spark, Docker, Kubernetes, etc
Our take
When Airbnb was originally founded, the product helped customers book air mattresses on people's apartment floors. Since then, Airbnb has had over a billion customers hosted through its platform. With more than 4 million registered hosts worldwide, it has grown into a major player in the hospitality sector.
Airbnb has been successful in disrupting the traditional holiday lettings sector. Before it existed accommodation was limited to hotels and bed and breakfasts, but Airbnb has mainstreamed the idea of renting out spare rooms or even entire homes. It has created a new sector of hosts purchasing properties to rent out on the platform and provides a level of flexibility and a range of offerings not previously possible for travelers.
Perhaps a victim of its own success, by 2022 supply of Airbnb-listed properties began to outstrip demand in some markets, as hosts overestimated the appetite for domestic travel. However, the company is still posting strong financials and has unveiled new tools to support its hosts in a tougher rental market. With a healthy bottom line and a huge user base, Airbnb is very likely to overcome the current market turbulence and continue its growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
25% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Apr 2020
$500m
GROWTH EQUITY VC
Mar 2017
$447.8m
SERIES F
Total funding: $3.8bn
Company benefits
- Paid volunteer time
- Health food and snacks
- Generous parental and family leave
- Learning and development
- Annual travel and experiences credit
Company HQ
Showplace Square, San Francisco, CA
Leadership
Brian Chesky
(Co-Founder & CEO)Previously an Industrial Designer, studying at Rhode Island School of Design.
Nathan Blecharczyk
(Co-Founder & CSO)Studied Computer Science at Harvard, and had around 4 years of professional Software Engineering experience before founding Airbnb, including interning at Microsoft.
Joe Gebbia
(Co-Founder)Also studied Industrial Design at Rhode Island, and previously founded various design-related startups
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