Senior Machine Learning Engineer, Airbnb
Quality and Merchandising
$185-223k
More information about location
Community marketplace for holiday accomodation
Be an early applicant
Community marketplace for holiday accomodation
1001+ employees
Be an early applicant
$185-223k
More information about location
1001+ employees
Company mission
To create a world where anyone can belong anywhere.
Role
Who you are
- 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
- Strong programming (Python/Java) and data engineering skills
- 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)
- Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive)
- Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models
- Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
- Prior knowledge of ML Applications in the ranking, recommendation or personalization domain is highly desirable
What the job involves
- Our team is responsible for building world class ML driven intelligence platforms that power high quality listings and help host better merchandising them to guests
- As key individual contributors in this team, you will have the opportunities to drive team directions and partner with key teams across the company such as Search, listings, Communication & connectivity etc
- We are seeking a highly skilled and motivated ML engineer who is looked up to as a ML modeling expert
- We are at the early journey of building a company-wide user centric platform and products in a multi-year effort
- As a technical leader, you will have the unique opportunity to drive multiple years of technical vision and architect an ML driven system which serves to provide intelligence for millions of listings quality and merchandising insights from scratch
- You will be in charge of the whole lifecycle of big yet ambiguous problem solving from prototyping to leading a group of talented engineers to deliver high quality work through multiple releases
- Provide critical input and be able to influence technical direction
- Influence and collaborate with stakeholders to adopt team goals and roadmaps
- Work with cross functional partners (product managers, DS, Analytics etc) to design and deliver high-quality systems
- Design and implement ML models to drive organic bookings and improve user experience
- Lead efforts to architect, prototype, build and launch solutions for host or listing success
- Mentor engineers on day to day basis to ensure quality and directions, both within and outside of the team
- 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
Few candidates hear
back within 2 weeks
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 values
- Champion the Mission: We’re united with our community to create a world where anyone can belong anywhere
- Be a Host: We're caring, open, and encouraging to everyone we work with
- Embrace the Adventure: We’re driven by curiosity, optimism, and the belief that every person can grow
- Be a Cereal Entrepreneur: We’re determined and creative in transforming our bold ambitions into reality
Company HQ
Showplace Square, San Francisco, CA
Articles
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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