Principal Machine Learning Engineer (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Principal Machine Learning Engineer (AI): Developing and fine-tuning state-of-the-art LLMs for customer support and travel applications with an accent on model optimization, RAG, and high-performance deployment. Focus on designing AI assistants and autonomous agents to enhance the guest and host experience.
Location: Remote (Must be based in a US state where has a registered entity)
Salary: $292,000 — $365,000 USD
Company
A global marketplace that connects hosts offering unique stays and experiences with guests around the world.
What you will do
- Fine-tune state-of-the-art LLMs for diverse use cases and optimize them for high-performance deployment.
- Design and develop AI products including AI Assistants, autonomous agents, and travel planning tools.
- Create a multi-year technical roadmap to keep the company at the leading edge of the AI landscape.
- Evaluate and refine foundational models to ensure maximum performance and efficiency.
- Drive key AI architectural decisions and contribute to the overall ML platform strategy.
Requirements
- PhD in Computer Science, Machine Learning, Mathematics, Statistics, or a related technical field.
- 10+ years of experience developing ML models and products at scale from inception to business impact.
- Proficiency in Python and hands-on experience with PyTorch.
- Proven record of training, fine-tuning, and optimizing model inference run-time.
- Expertise in post-training (data processing, LLM alignment, RLHF) or runtime optimizations (quantization, GPU inference).
- Must reside in a US state where , Inc. has a registered entity.
Nice to have
- Publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR).
- Experience with AI technologies specifically applied to Customer Support Systems.
- Expertise in the entire AI product lifecycle following agile practices in Applied AI/ML.
- Strong infrastructure acumen for deploying and scaling business-critical AI services.
Culture & Benefits
- Competitive base pay with eligibility for bonus and equity.
- Employee Travel Credits for using the platform.
- Inclusive and diverse work environment focused on innovation.
- Flexible remote-eligible work arrangement within the US.
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