Senior Machine Learning Engineer

Airbnb

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Build and improve ML models for product, business, and operational use cases
Develop query understanding capabilities (autocomplete, smart compose, tagging, expansion, intent modeling)
Develop natural-language search experiences powered by NLP and LLMs
Collaborate with cross-functional partners (engineers, PMs, data scientists)
Identify opportunities for business impact
Refine and prioritize requirements for ML models
Drive engineering decisions and quantify impact
Develop, productionize, and operate ML models and pipelines at scale (batch and real-time)
Leverage ML tools & infrastructure for reusable, high-performing systems
Enable fast model development, low-latency serving, and ease of model quality upkeep

5+ years of industry experience in applied Machine Learning
MS or PhD in relevant fields
Strong programming skills (Scala / Python / Java / C++ or equivalent)
Strong data engineering skills
Deep understanding of Machine Learning best practices (training/serving skew minimization, A/B test, feature engineering, feature/model selection)
Deep understanding of ML algorithms (neural networks/deep learning, optimization)
Deep understanding of ML domains (natural language processing, personalization, search and recommendation, marketplace optimization)
Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (Hive)
Industry experience building end-to-end Machine Learning models
Experience applying large language models and modern NLP (sequence tagging/NER, text generation, intent classification, embedding/representation learning)
Exposure to architectural patterns of large, high-scale software applications

Familiarity with building natural-language, AI-native and agentic search experiences

Skills