Staff Machine Learning Engineer, Airbnb
Knowledge Graph
$200-254k
+ Stock
Community marketplace for holiday accomodation
Job no longer available
Community marketplace for holiday accomodation
1001+ employees
Job no longer available
$200-254k
+ Stock
1001+ employees
Company mission
To create a world where anyone can belong anywhere.
Role
Who you are
- 10+ years of hands on industry experience in NLP or applied Machine Learning, inclusive MS or PhD in relevant fields
- Proficiency in NLP or UGC/content understanding including deep learning, text classification, named entity extraction, information retrieval, or knowledge extraction
- Hands on experience with large language models, i.e. BERT, LaMDA, GPT-2/3/4, LLaMa
- 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)
- Strong programming (Scala / Python / Java/ C# or equivalent) skills with a deep understanding of data structure and algorithms
- Experience with building and productionalizing Machine Learning models at scale from inception to business impact with multiple dependencies across teams
- Exceptional problem-solving, analytical, and critical thinking skills, with the ability to adapt to new challenges and technologies
- Great communication skills and eagerness to learn and share knowledge within the engineering organization
- Bachelor's degree or equivalent practical experience
- 7 years of hands on experience with natural language processing, deep learning / ML algorithms and tools
- 10 years of experience in software development with focus on data mining, data structures/algorithms
What the job involves
- As one of the most senior Machine Learning Engineers in the team, you are very hands on and eager to solve complex NLP/ML problems top to bottom and thrive working across technologies and codebases
- Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product use cases
- Hands-on develop, productionalize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases
- Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems.
- Mentor team members
- The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager
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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