Data Scientist, Airbnb
Operations Research/Customer Support, Machine Learning/Algorithm
$148-174k
More information about location
Community marketplace for holiday accomodation
Be an early applicant
Community marketplace for holiday accomodation
1001+ employees
Be an early applicant
$148-174k
More information about location
1001+ employees
Company mission
To create a world where anyone can belong anywhere.
Role
Who you are
- For this role, we’re seeking a candidate with NLP/LLM proficiency to join the Customer Support Data Science team
- 2+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields
- Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse
- Deep understanding of machine learning lifecycle best practices (e.g. training/serving, feature engineering, feature/model selection, labeling, A/B test), algorithms (e.g. gradient boosted trees, neural networks/deep learning, optimization) and domains (e.g. natural language processing, personalization and recommendation)
- Proficiency with LLMs and/or related AI, NLP, CV, UGC/content understanding topics including deep learning, information retrieval, or knowledge extraction. For example, BERT, GPT-2/3/4, LLaMA, Mistral
- Proven ability to communicate clearly and effectively to audiences of varying technical levels, observation causal inference skill is a plus
- Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community. Publications or presentations in recognized journals/conferences is a plus
- Ability to take a product-oriented mindset in using conceptual and innovative thinking to develop and apply solutions taking into consideration the user experience
What the job involves
- As a Data Scientist working on Algorithms in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to build scalable and robust systems to match our services to specific customer needs
- You will be able to create meaningful impact through deep scientific understanding and by designing interventions for Airbnb CS’s most critical challenges
- You will work closely with the tech lead for this area on significant components of larger projects and have a direct opportunity to contribute and influence in the CS x AI space by designing scalable scientific solutions for problems like:
- Understanding and improving the performance of our AI Agent
- Scaling the high-quality synthetic datasets curation across various CS domains for training and evaluating LLM
- Implementing advanced methods to automate the LLM evaluation process with high efficiency and quality
- Generating most helpful self-solve contents in line with Airbnb policy leveraging generative AI to automate low-complexity issues
- A Typical Day:
- Identify high impact business opportunities through data exploration and model prototype, translate business problems into scientific formulations
- Work collaboratively with cross functional partners including software engineers, product managers, operations and research, to refine requirements for LLMs, drive scientific decisions, and quantify impact
- Hands-on develop, productionize, and operate machine learning models and pipelines at scale, including both batch and real-time use cases, structured and unstructured data
- Build scalable performance measurement solutions for LLMs evaluation with internal paved path tooling, incorporating industry best practice and state-of-the-art innovations
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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