Senior Staff Machine Learning Engineer - Community Support Engineering

July 3

🏈 Alabama – Remote

Although this job is listed in Alabama, this company may be open to hiring remote in other states.

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

+14 more states

🏈 Alabama – Remote 🏄 California – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌲 Oregon – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🔔 Pennsylvania – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $244k - $305k / year

⏰ Full Time

🟠 Senior

📞 Support Engineer

🦅 H1B Visa Sponsor

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Airbnb

WebsiteLinkedInAll Job Openings

B2C • eCommerce • Hospitality

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

5001 - 10000 employees

Founded 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

📋 Description

• As a machine learning engineer or scientist, your expertise will be pivotal in developing AI-powered solutions to shape the future of the Airbnb customer experience with cutting-edge AI techniques. You will drive and guide the rest of the engineers to brainstorm, design and develop AI products and features from inception to production. • We're seeking a Senior Staff Engineer who thrives at the intersection of technical depth, architectural thinking, and mentorship. • You’ll collaborate with cross-functional leaders, build resilient systems that operate globally at scale, and help evolve the foundational building blocks behind AI-powered customer support. • Work with large scale structured and unstructured data; explore, experiment, build and continuously improve Machine Learning models and pipelines for Airbnb product, business and operational use cases. • Work collaboratively with cross-functional partners including product managers, operations and data scientists, to identify opportunities for business impact; understand, refine, and prioritize requirements for machine learning, and drive engineering decisions. • Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases. • Collaborate actively with engineers to apply ML / AI in their solutions to help validate ideas and guide to the right outcomes. • Partner with other ML Engineers in foundations engineering to mentor and develop initiative to make ML application a core discipline for non ML engineers.

🎯 Requirements

• Educational Background: PhD in Computer Science, Mathematics, Statistics, or related technical field. • Industry Experience: 10+ years of experience in building, testing and shipping AI models and products from inception to production; including 2+ years of experience with GenAI. • Leadership Experience: 10+ years experience leading and guiding machine learning and AI projects that deliver sizable impact as a senior IC. • Technical Proficiency: Deep knowledge and hands-on experience with Machine Learning best practices (eg. training/serving skew minimization, feature engineering, feature/model selection), algorithms (eg. neural networks/deep learning, optimization) and domains (eg. NLP, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection) • Preferred Qualifications: Experience with AI technologies in automating processes and developing agentic solutions and frameworks. • Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain. • Experience building robust testing frameworks for agent behavior validation and continuous improvement, and driving architectural requirements on ML infrastructures

🏖️ Benefits

• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.