Senior Staff Machine Learning Engineer, Post Training

Airbnb

Confirmed live yesterday Trusted

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $248,000–$310,000 / yr
Posted: 101 days ago
Freshness: Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $234k

This role $279k

$170k most similar roles pay here $325k

This role pays more than 88% of similar roles. Most pay $209,031–$259,421 — the shaded band above. At the midpoint, this role pays about $279k versus about $234k 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 65 open roles on FindRole.

Listed pay typically runs $200,000–$240,000 across 51 roles with salary data.

Most-posted roles

View all roles at Airbnb

At a glance

TL;DR · Senior Staff Machine Learning Engineer, Post Training

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Senior Staff Machine Learning Engineer, Post Training will join the CS AI product team to drive initiatives using generative AI technologies for customer support. This role involves fine-tuning state-of-the-art large language models (LLMs) for diverse use cases, optimizing them for high-performance deployment on internal infrastructure, and developing products like AI assistants and autonomous agents. The engineer will work with large-scale structured and unstructured data to build pipelines for batch and real-time use cases while creating multi-year technical roadmaps. Key responsibilities include model alignment, evaluation, and inference optimization. Required expertise includes a PhD in a relevant field, over ten years of experience, and proficiency in Python and PyTorch. Specialized skills involve post-training tasks like reinforcement learning, quantization, and kernel development to solve complex problems in travel planning and recommendation systems.

What does a Machine Learning Engineer earn in Remote?

Median $229700 from 72 postings across 27 companies.

See salary data

Skills

Generative AI LLM PyTorch Python Machine Learning RAG Reinforcement Learning Model Quantization GPU Inference Data Processing multimodal modeling Kernel Development

What you'll do

Fine-tune state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment.
Develop and productionize LLM models and pipelines at scale for both batch and real-time use cases.
Create a multi-year technical roadmap to keep the team at the forefront of evolving AI technologies.
Evaluate and select high-quality foundation models to ensure performance and efficiency across products.
Drive key architectural decisions for AI products and contribute to the overall ML platform strategy.
Process large-scale structured and unstructured data to improve foundation models for business and operational needs.
Implement advanced post-training techniques including LLM alignment, reinforcement learning, and model quantization.

What we're looking for

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.
Proficiency in Python programming.
Hands-on experience with frameworks such as PyTorch.
Proven record of training, fine-tuning, optimizing models, and improving inference run-time.
Experience in post-training areas including data processing for fine-tuning, LLM alignment, reinforcement learning, and model evaluation.
Specialized experience in runtime optimizations, model quantization, compression, or kernel development.

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