
Senior Machine Learning Engineer

Airbnb
Summary
Join Airbnb's Marketing Technology team as a Senior Machine Learning Engineer and leverage AI/ML to enhance personalized customer experiences. You will work with large-scale data, build and improve machine learning models, collaborate with cross-functional partners, and develop and operate machine learning models and pipelines at scale. The role involves identifying opportunities for business impact, refining requirements, driving engineering decisions, and quantifying impact. Projects range from personalized recommendations to future-oriented strategies on generative AI. This US-remote eligible position requires 5+ years of experience in applied machine learning and strong programming skills. The role offers a competitive salary, bonus, equity, benefits, and employee travel credits.
Requirements
- 5+ years of industry experience in applied Machine Learning with a BS/Masters or 2+ years with a PhD
- 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) and algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization)
- Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models
Responsibilities
- Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases
- Collaborate with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact
- Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases
- Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable and high-performing Machine Learning systems
Preferred Qualifications
Hands on experience with advanced Machine Learning Techniques, including but not limited to reinforcement learning, deep learning, and large language models (LLM)
Benefits
- Bonus
- Equity
- Benefits
- Employee Travel Credits
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