# Senior Staff Machine Learning Engineer, Post Training

**Company:** [Airbnb](https://hotfix.jobs/companies/airbnb)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $248k – $310k/yr
**Experience:** 10+ years
**Skills:** PyTorch, Python, Llm Fine-Tuning, Llm Alignment, Reinforcement Learning, Model Optimization, Model Quantization, Gpu Inference, Multimodal Modeling, Language Model Evaluation
**Posted:** 2026-05-05

> Senior Staff ML Engineer fine-tunes and optimizes state-of-the-art LLMs for Airbnb's customer support AI products, including AI assistants and autonomous agents. Partners cross-functionally to productionize models at scale. Requires PhD and 10+ years experience with PyTorch.

## Job Description

## Responsibilities

- 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.

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