Senior Staff Machine Learning Engineer, Airbnb
Security
$244-304k
More information about location
Community marketplace for holiday accomodation
Be an early applicant
Community marketplace for holiday accomodation
1001+ employees
Be an early applicant
$244-304k
More information about location
1001+ employees
Company mission
To create a world where anyone can belong anywhere.
Role
Who you are
- 12+ years of industry experience in applied Machine Learning
- A Bachelor’s, Master’s, or PhD in CS/ML or related field
- Strong programming (Scala / Python / Java/ C++ or equivalent) 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, computer vision, personalization and recommendation, anomaly detection)
- 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 a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
- Experience with test driven development, familiar with A/B testing, incremental delivery and deployment
- Experience with Information Security or similar domains
- You have experience in developing and communicating effective and pragmatic strategies that you are directly responsible for and help engineering and business team(s) execute on. You don’t wait for things to happen to you, you make things happen. You feel personally responsible for the success of the initiative you are driving regardless of who is doing the work. You see beyond your immediate disciplines to tie together the needed end-to-end elements that will successfully sustain the capabilities you establish to achieve the unified objectives in support of the broader Information Security strategy at Airbnb
- You have strong written and verbal communication skills. You can dive into the details with engineers and business partners while also speaking at the appropriate altitude when working with other organizations and leaders up to and including the executive level. You have empathy and seek to understand before being understood when communicating. This enables you to effectively identify the best path forward and influence how you approach a problem as well as how other teams may prioritize supporting the initiatives you are directly responsible for
What the job involves
- We are looking for a Senior Staff Machine Learning Engineer to contribute to advancing Information Security protections and related operations across a variety of domains such as Identity and Access Management, Insider Risk, and device protections through the use of data analytics, machine learning, and related emerging tech such as genAI and LLMs
- You will partner across the Information Security team along with cross-functional engineering and business organizations to achieve the strategic priorities that secure Airbnb for your area of focus
- Support, scale, and advance security or related functions through practical applied uses of data analytics, ML models, and integration of genAI and LLM models from past experience at equivalent size, scope, scale, and technically complex companies comparable to Airbnb
- Provide strategic approaches and methodologies to advance security disciplines working with large scale structured and unstructured data, build, and continuously improve cutting edge Machine Learning models for these disciplines
- Continuously identify, drive, and support opportunities where Information Security disciplines can benefit from your area of expertise. Work collaboratively with cross-functional partners including software engineers, product managers, operations, and data scientists to do so
- Work through ambiguity to detailed solutions. You can and support others to take a vague problem, crisply frame the challenge, what’s being solved for, identify a path forward, and drive an initiative over the finish-line
- You have a demonstrated ability to see the interconnectedness of not only the immediate problem you’re solving for, but also those of other organizations to unify cross-functional stakeholders to deliver solutions that are best for Airbnb vs. a single business unit
- Self-motivated, proactive and proven ability to adapt well and work with teams having different operating cadences and breadth of subject matter backgrounds
- Provide sound business judgment, a proven ability to influence others, strong analytical skills, and a track record of taking ownership, leading data driven analyses, and influencing results
- Develop processes where little exists across large organizations, and demonstrated flexibility to get things done
- Drive technology changes to improve capabilities to protect Airbnb in your area of expertise
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
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
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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