Principal Machine Learning Engineer – LLM Fine-tuning, Optimization

Job not on LinkedIn

🕒 May 25

🇺🇸 United States – Remote

💵 $292k - $365k / year

⏰ Full Time

🔴 Lead

🗣️ LLM Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Airbnb

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

✈️ Travel

📦 Logistics

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

Travel • Logistics • eCommerce

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• Fine-tune state-of-the-art LLMs for diverse use cases while optimizing models. • Partner with product managers, software engineers, data scientists and operation teams. • Brainstorm, design and develop AI products like AI Assistant and Autonomous agent. • Work with large scale structured and unstructured data to continuously improve foundation models. • Create a multi-year tech roadmap for the team. • Continuously evaluate foundational models for enhanced performance and efficiency. • Hands-on prototype, develop and productionize LLM models and pipelines. • Drive AI architectural decisions and contribute to ML platform architecture.

🎯 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.

🏖️ Benefits

• Bonus • Equity • Employee Travel Credits