Senior Machine Learning Engineer Manager, Airbnb
Community Support Engineering
$244-307k
More information about location
Community marketplace for holiday accomodation
Open for applications
Community marketplace for holiday accomodation
1001+ employees
Open for applications
$244-307k
More information about location
1001+ employees
Company mission
To create a world where anyone can belong anywhere.
Role
Who you are
- Expertise in ML & AI: Deep knowledge of various machine learning and AI methodologies, including LLMs and non-LLMs, tailored for user-facing products
- Leadership in ML Development: Proven experience in leading teams that develop large-scale ML models and systems to improve online user experiences
- Management and Mentorship: Strong leadership skills with a track record of nurturing an innovative and collaborative team environment
- Communication Excellence: Exceptional verbal and written communication abilities, with a keen eye for detail
- Collaborative Spirit: Demonstrated capability to work effectively with stakeholders at all organizational levels, both internally and externally
- Problem Solving: Skilled in navigating and resolving ambiguous challenges through proactive and strategic approaches
- Educational Background: PhD, or Master's degree in Computer Science, Mathematics, Statistics, or related technical field
- Industry Experience: 10+ years of experience in building and shipping AI models and products, including 2+ years of experience with LLMs
- Leadership Experience: 5+ years managing machine learning teams that deliver large impact
- Technical Proficiency: Expert knowledge of machine learning algorithms and techniques
- Customer Support Systems: Experience with AI technologies in customer support applications
- Advanced LLM Expertise: Experience with LLM alignment techniques (SFT, RLHF, DPO, etc) and LLM evaluation
- Infrastructure Acumen: Background in working with ML infrastructures and complex system designs
- Continuous Learner: Ability to absorb new concepts quickly and integrate them effectively into business processes
What the job involves
- The Community Support Platform (CSP) at Airbnb is a critical system that drives our customer support operations. CSP empowers Airbnb's global network of Community Support ambassadors, utilizing cutting-edge technology to deliver exceptional customer service with high efficiency
- As part of the CSP vision, we are harnessing AI to revolutionize Airbnb’s approach to customer service. Our AI Product team is focused on providing a seamless user experience by combining AI capabilities with the expertise of our support ambassadors
- Lead and Mentor: Guide a dynamic team of highly skilled applied scientists and machine learning engineers in the research, design and optimization of AI models and services
- Strategize and Innovate: Develop and refine the overarching strategy for the ML and AI aspects of our community support products, focusing on scalability, quality, safety, performance, and reliability
- Drive Excellence: Foster rapid development cycles without sacrificing quality, collaborating closely with platform, backend, and frontend engineers to engineer robust ML models and systems that enhance community support initiatives
- Make Data-Driven Decisions: Evaluate technical trade-offs in key decisions, ensuring optimal outcomes through data-backed strategies
- Uphold Technical Standards: Conduct thorough design and architecture reviews to continually elevate our standards of technical excellence
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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