Collaborate closely with teams across Airbnb—such as Customer Support, Guest & Host Tools, etc. — to deliver powerful machine translation capabilities for the entire company. Partner with teams to identify and prioritize translation-related challenges and opportunities.
Design and implement scalable machine translation models to improve accuracy and reduce cost and latency for Airbnb’s global platform.
Develop tooling, pipelines, and low-level infrastructure (in collaboration with the ML Infrastructure team) that ensures we have a flexible foundation for machine translation spanning data preparation, evaluation, model selection/training, and inference.
Work with cutting-edge open-source models, including Llama, as well as commercial Translation offerings.
Requirements & Skills:
9+ years of industry experience in applied Machine Learning, inclusive of MS or PhD in relevant fields.
Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.
Deep familiarity with machine learning development practices, especially for language modeling & NLP applications.
Prior experience with deploying or supporting production ML systems at large scale – including operational experience on observability, continuous evaluation and improvement, progressive rollouts.
Familiarity with OSS tools and technologies such as: PyTorch, LlamaFactory, HuggingFace, NVidia Triton / TRTLLM, Ray.
Passionate about GenAI with a strong grasp of current trends in LLMs and related technologies. Deep understanding of GenAI models and their strengths/weaknesses, and ability to define the criteria for the right models/technologies to use to balance tradeoffs between quality, cost, performance, ease of operation, and extensibility.
Strong communication and cross-team collaboration skills.
You may currently hold titles such as ML Engineer, Applied Scientist, or Data Scientist.
