Staff Machine Learning Engineer, Airbnb

Price Modeling

$204-259k

Python
R
Expert level
Remote in US

More information about location

Airbnb

Community marketplace for holiday accomodation

Open for applications

Airbnb

Community marketplace for holiday accomodation

1001+ employees

B2CHospitalityB2BTravelMarketplaceSharing Economy

Open for applications

$204-259k

Python
R
Expert level
Remote in US

More information about location

1001+ employees

B2CHospitalityB2BTravelMarketplaceSharing Economy

Company mission

To create a world where anyone can belong anywhere.

Role

Who you are

  • 9+ years of experience in machine learning engineering, with a focus on reinforcement learning
  • Proven experience in developing and implementing machine learning models, particularly reinforcement learning models
  • Strong knowledge of Python, R, or other relevant programming languages
  • Familiarity with data analysis and visualization tools
  • Excellent problem-solving skills and attention to detail
  • Ability to work effectively in a team and communicate complex ideas clearly
  • Experience in the hospitality industry or with pricing models would be a plus
  • Experience with Airbnb's platform and tools would be beneficial

What the job involves

  • In this role, you will be responsible for developing and refining machine learning models for pricing recommendations, with a particular focus on reinforcement learning techniques
  • As a Staff Machine Learning Engineer, you will be a part of Airbnb's innovative pricing guidance team
  • Success in this role will be measured by the accuracy and effectiveness of these models, and their impact on host success rates
  • You will also be involved in project planning and prioritization, ensuring that our team's efforts align with Airbnb's broader strategic goals
  • Collaborating with data scientists and product managers to understand project requirements and desired outcomes
  • Developing, testing, and refining machine learning models, particularly reinforcement learning models, for pricing recommendations
  • Analyzing model performance and making necessary adjustments
  • Presenting findings and progress updates to team members and stakeholders
  • Working with product engineers and designers to integrate models into user-friendly tools for hosts
  • Occasionally collaborating with international partners to understand and cater to global market trends

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 headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Some 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

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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