Senior Staff Machine Learning Engineer - Guest & Host

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

🤖 Machine Learning 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

• Your contributions take a variety of shapes: • Leverage structured and unstructured data to build and continuously improve state of the art Machine Learning models for Airbnb product, business and operational use cases. • Work collaboratively with engineers, product managers, data scientists, and operations to identify problems and deploy ML capabilities. • Stay up to date with SoT models and prototype machine learning product features and iterate with product and design. • Drive best practices, develop playbooks, and create a repeatable process for shipping quality machine learning features. • Hands-on development, productionization, and maintenance of machine learning models and pipelines at scale.

🎯 Requirements

• Industry experience building and shipping end to end machine learning features • 12+ years of industry experience in applied Machine Learning, with experience in both Natural Language Processing and Computer Vision • A Bachelor’s, Master’s or PhD in CS/ML or related field • Strong programming (Python / Java/ C++ or equivalent) skills with data and backend engineering expertise • Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection) and algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) • Experience with technologies such as: Tensorflow, PyTorch, Kubernetes, Airflow (or equivalent), Kafka (or equivalent) • Expertise with architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)

🏖️ Benefits

• Our job titles may span more than one career level. • The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. • The base pay range is subject to change and may be modified in the future. • This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.