Machine Learning Engineer, Assistance Engineering at Airbnb | San Francisco, United States (Remote)
Company/Recruiter: Airbnb
Opportunity snapshot
A practical decision guide for this role: compare the facts below with your experience before applying.
Opportunity type
Job
Location
United States of America, San Francisco
Work arrangement
Remote
Compensation
$162,000/year
Closing date
Feb 27, 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, Engineering, or a related field; Proven experience in machine learning model development and deployment. Use one concrete example that shows you can Design, implement, and deploy machine learning models for assistance engineering.
Check before applying: Confirm that United States of America, San Francisco and the stated work arrangement suit you, check the closing date of Feb 27, 2027.
- Apply before Feb 27, 2027.
- The application route is available to verified Talent accounts.
Job Overview
This position focuses on developing and deploying machine learning models that power assistance features across Airbnb. You will collaborate with a talented team of engineers and product managers to translate complex business needs into scalable, performant machine learning solutions.Key Responsibilities
- Design, implement, and deploy machine learning models for assistance engineering
- Develop and maintain data pipelines for training and evaluation
- Collaborate with cross-functional teams to define project requirements and objectives
- Conduct research and experimentation to identify new opportunities for ML applications
- Monitor model performance and iterate to improve accuracy and efficiency
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Proven experience in machine learning model development and deployment
- Proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Strong understanding of statistical modeling and data analysis techniques
- Excellent problem-solving and communication skills
What We Offer
- Opportunity to work on impactful projects at a leading tech company
- Collaborative and innovative work environment
- Competitive compensation and benefits
- Remote work flexibility
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