Senior Staff Machine Learning Engineer, Post Training - Careers

Airbnb

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$248,000–$310,000 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $279k
$166k most similar roles pay here $325k

This role pays more than 89% of similar roles. Most pay $185,000–$246,150 — the shaded band above. At the midpoint, this role pays about $279k versus about $216k 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.

Most-posted roles

View all roles at Airbnb

At a glance

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

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As a Principal Machine Learning Engineer in the CS AI product team at Airbnb, you will lead initiatives to integrate generative AI technologies into customer support systems, enhancing scalability and service quality. Your daily tasks include fine-tuning large language models for diverse applications such as AI assistants and travel planning tools, collaborating with cross-functional teams to design and develop cutting-edge AI products. You will work with large-scale structured and unstructured data, creating a multi-year tech roadmap to stay ahead in the evolving AI landscape. Key responsibilities involve evaluating foundational models, developing scalable pipelines, and making critical architectural decisions for ML platforms. The role requires expertise in Python, PyTorch, and extensive experience in model training, fine-tuning, and optimization at scale.

Skills

Python PyTorch LLM fine-tuning LLM alignment Reinforcement learning Language model evaluation Multilingual modeling Multimodal modeling Data processing Model optimization Inference runtime Runtime optimizations Model quantization Compression On-device inference GPU inference Kernel development CI/CD

What you'll do

  • Fine-tune state-of-the-art LLMs for diverse use cases to enhance performance.
  • 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 to ensure highest quality 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 machine learning models and products at scale.
  • Expertise in Python and frameworks like PyTorch for model development.
  • Proven ability to train, fine-tune, optimize, and evaluate large language models.
  • Experience with data processing, LLM alignment, reinforcement learning, and efficient training.

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