Senior Staff Machine Learning Engineer, Post Training

Job not on LinkedIn

🕒 May 5

🇺🇸 United States – Remote

💵 $248k - $310k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Airbnb

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

✈️ Travel

📦 Logistics

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

Travel • Logistics • eCommerce

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• Work with large scale structured and unstructured data; explore, experiment, build and continuously improve foundation models for Airbnb product, business and operational use cases. • Create a multi-year tech roadmap that enables our team to stay on the leading edge of the rapidly evolving AI landscape and leverage the best in class technologies to deliver customer benefits. • Continuously evaluate recent and upcoming large foundational models, ensuring the selection and refinement of the highest quality models for enhanced performance and efficiency. • Hands-on prototype, develop and productionize LLM models and pipelines at scale, including both batch and real-time use cases. • Drive key AI architectural decisions for products, and contribute to Airbnb’s ML platform architecture and strategy.

🎯 Requirements

• PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related technical field. • 10+ years of experience with developing machine learning models and products at scale from inception to business impact. • Programming experience in Python and hands-on experience with frameworks such as PyTorch. • Proven record of training, fine tuning, optimizing models and inference run-time. • Post-training experience in areas like data processing for fine-tuning; responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling. • Or specialized experience in runtime optimizations, model quantization, compression, on-device inference, GPU inference, pytorch, kernel development.

🏖️ Benefits

• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.