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Airbnb

Principal Machine Learning Engineer- LLM Fine-tuning and Optimization

Airbnb · United States

Posted about 3 months ago

or apply directly on Airbnb's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
Airbnb's roles stay open a median of 81 days
Reposted
No
Salary listed
No
0% of Airbnb's roles list one
Ghost-job risk at Airbnb
high
168 stale, 16 reposted of 173 open
Hiring momentum
323 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Airbnb's own greenhouse board since 2026-08-03. Full hiring picture for Airbnb.

About this role

As a Principal Machine Learning Engineer at Airbnb, you will focus on fine-tuning and optimizing large language models (LLMs) for various applications within the company. Your role involves collaborating with cross-functional teams to develop AI products, creating tech roadmaps, and evaluating foundational models to ensure high performance. You will also prototype and productionize LLM models and contribute to the architectural decisions of Airbnb's machine learning platform.

Our read on this posting2.2out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Airbnb as an employer.

What you need

  • 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
  • Specialized experience in runtime optimizations, model quantization, compression, on-device inference, GPU inference, pytorch, kernel development

Nice to have

  • PhD in AI, machine learning, data science, or related technical fields
  • Publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
  • Experience with AI technologies in customer support applications
  • Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain
  • Experience deploying and scaling business-critical AI services and driving architectural requirements on ML infrastructures

What you get

  • Base pay range of $292,000 — $365,000 USD
  • Potential eligibility for bonus, equity, benefits, and Employee Travel Credits

Worth weighing

  • Remote eligible position but must live in a state where Airbnb has a registered entity
  • No specific mention of team size or structure
  • Vague on the exact nature of the AI products being developed

Summarised from Airbnb's posting. Read the full original.

Listed by Airbnb on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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