Staff Software Engineer, AI Platform at Airbnb | San Francisco, United States (Remote)
Company/Recruiter: Airbnb
Opportunity snapshot
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Opportunity type
Job
Location
United States of America, San Francisco
Work arrangement
Remote
Compensation
$212,000/year
Closing date
Mar 1, 2027
Employer
Airbnb
Prepare your application
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MorrJobs preparation notes
Role shape: Responsibility-led role with a detailed skills profile.
Evidence to prepare: Connect your CV or portfolio to Bachelor's or Master's degree in Computer Science or a related field.; Extensive experience in software engineering with a focus on AI/ML platforms.. Use one concrete example that shows you can Design and implement scalable and reliable AI platform services..
Check before applying: Confirm that United States of America, San Francisco and the stated work arrangement suit you, check the closing date of Mar 1, 2027.
- Apply before Mar 1, 2027.
- The application route is available to verified Talent accounts.
Job Overview
As a Staff Software Engineer, AI Platform, you will play a pivotal role in designing, developing, and deploying cutting-edge AI infrastructure. You will work on challenging problems at scale, contributing to the core technologies that power Airbnb's AI initiatives. This position demands a strong understanding of distributed systems, machine learning pipelines, and robust software engineering practices.Key Responsibilities
- Design and implement scalable and reliable AI platform services.
- Develop and maintain robust machine learning infrastructure.
- Collaborate with cross-functional teams to integrate AI capabilities into product features.
- Optimize performance and efficiency of AI workflows.
- Mentor junior engineers and contribute to technical strategy.
Requirements
- Bachelor's or Master's degree in Computer Science or a related field.
- Extensive experience in software engineering with a focus on AI/ML platforms.
- Proficiency in programming languages such as Python or Java.
- Experience with cloud platforms (e.g., AWS, GCP) and containerization technologies.
- Deep understanding of machine learning concepts and MLOps.
What We Offer
- Opportunity to work on impactful AI projects at a global scale.
- Collaborative and innovative work environment.
- Competitive compensation and benefits.
- Continuous learning and professional development.
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