Senior Staff Machine Learning Engineer, Post Training

at Airbnb

📍 United States

USD 248,000-310,000 per year

SENIOR

✅ Remote ✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 Customer Support @ 4 GPU @ 4 GenAI Generative AI @ 4 LLM @ 4 Machine Learning @ 4 Marketing @ 4 Mathematics @ 4 PyTorch @ 4 Python @ 7 RAG @ 4 Reinforcement Learning @ 4 Statistics @ 4

Details

Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb.

Responsibilities

Fine-tune state-of-the-art large language models (LLMs) for diverse use cases and optimize models for high-performance deployment on Airbnb’s ML infrastructure.
Prototype, develop, and productionize LLM models and pipelines at scale, including both batch and real-time use cases.
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 technical roadmap to keep the team on the leading edge of the AI landscape and leverage best-in-class technologies.
Continuously evaluate recent and upcoming foundation models to select and refine models for performance and efficiency.
Drive AI architectural decisions for products and contribute to Airbnb’s ML platform architecture and strategy.
Partner with product managers, software engineers, data scientists and operations teams to design and deliver AI products (AI Assistant, autonomous agents, recommendations, travel planning, etc.).

Requirements

PhD in Computer Science, Machine Learning, Mathematics, Statistics, or a related technical field.
10+ years of experience developing machine learning models and products at scale from inception to business impact.
Strong programming experience in Python.
Hands-on experience with frameworks such as PyTorch.
Proven record of training, fine-tuning, and optimizing models and inference runtime.
Post-training experience in areas such as 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, and kernel development.

Location

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with your manager.
Candidates must live in a U.S. state where Airbnb, Inc. has a registered entity (some states are excluded).

Compensation

Base pay range: $248,000—$310,000 USD. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Team Context

The CS AI product team drives Customer Support x AI (CSxAI) initiatives, adopting generative AI technologies across AI model fine-tuning, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning, and guardrails for Airbnb applications.

Inclusion & Accessibility

Airbnb is committed to inclusion and belonging and provides a disability-inclusive application and interview process; candidates needing reasonable accommodation are instructed to contact [email protected].