Principal Machine Learning Engineer- LLM Fine-tuning and Optimization - Careers

Airbnb

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$292,000–$365,000 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $219k
This role $328k
$161k most similar roles pay here $387k

This role pays more than 99% of similar roles. Most pay $192,569–$246,150 — the shaded band above. At the midpoint, this role pays about $328k versus about $219k for comparable roles.

Based on 240 similar postings.

Employer

About Airbnb

Founded in 2008 and formerly known as AirBed & Breakfast, Inc., Airbnb is a global marketplace connecting travelers with hosts who offer unique accommodations, ranging from private rooms to entire homes. It operates a massive digital platform for booking stays, experiences, and travel services worldwide.

Airbnb currently has 75 open roles on FindRole.

Listed pay typically runs $204,000–$255,000 across 45 roles with salary data.

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View all roles at Airbnb

At a glance

TL;DR · Principal Machine Learning Engineer- LLM Fine-tuning and Optimization - Careers

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As a principal machine learning engineer in the CS AI product team at Airbnb, you will lead the fine-tuning and optimization of large language models for diverse applications such as customer support, autonomous agents, and travel planning. Your day-to-day responsibilities include collaborating with cross-functional teams to design and develop scalable AI solutions, creating a multi-year tech roadmap, and evaluating cutting-edge foundational models to enhance performance. You will work extensively with Python, PyTorch, and other frameworks to prototype, develop, and productionize large-scale machine learning pipelines, ensuring efficient deployment on Airbnb’s infrastructure. This role requires expertise in areas like data processing for fine-tuning, LLM alignment, reinforcement learning, and model optimization, as well as a PhD in a relevant field and at least 10 years of experience in developing ML models at scale.

Skills

Python PyTorch LLM fine-tuning LLM alignment reinforcement learning language model evaluation multilingual modeling model quantization compression on-device inference GPU inference CI/CD Agile methodologies Kubernetes AWS Google Cloud Platform Azure

What you'll do

  • Fine-tune state-of-the-art LLMs for diverse use cases.
  • Develop and optimize AI models for high-performance deployment on Airbnb’s ML Infrastructure.
  • Create a multi-year tech roadmap to stay ahead in the evolving AI landscape.
  • Evaluate and refine foundational models for enhanced performance and efficiency.
  • Prototype, develop, and productionize large-scale LLM models and pipelines.

What we're looking for

  • PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related field.
  • 10+ years of experience developing and scaling machine learning models and products.
  • Expertise in Python and frameworks like PyTorch for model development.
  • Proven ability to train, fine-tune, optimize large language models (LLMs).
  • Experience with data processing, LLM alignment, reinforcement learning, and efficient training.

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