Senior Staff Machine Learning Engineer, Post Training
Remote - USAFull-TimeStaff
Salary248,000 - 310,000 USD per year
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Job Details
- Experience
- 10+ years of experience
- Required Skills
- PythonArtificial IntelligenceMachine LearningPyTorchGenerative AI
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
- 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
- Experience with responsible LLMs
- Experience with LLM alignment
- Experience with reinforcement learning
- Experience with efficient training and inference
- Experience with language model evaluation
- Experience with multilingual and multimodal modeling
- Specialized experience in runtime optimizations
- Specialized experience in model quantization
- Specialized experience in compression, on-device inference, GPU inference, pytorch, kernel development
Responsibilities
- Fine-tune state-of-the-art LLMs for diverse use cases
- Optimize models for high-performance deployment on Airbnb’s ML Infrastructure
- Partner with product managers, software engineers, data scientists and operation teams to brainstorm, design and develop AI products
- Work with large scale structured and unstructured data; explore, experiment, build and continuously improve foundation models for Airbnb product, business and operational use cases
- Create a multi-year tech roadmap that enables our team to stay on the leading edge of the rapidly evolving AI landscape and leverage the best in class technologies to deliver customer benefits
- Continuously evaluate recent and upcoming large foundational models, ensuring the selection and refinement of the highest quality models for enhanced performance and efficiency
- Hands-on prototype, develop and productionize LLM models and pipelines at scale, including both batch and real-time use cases
- Drive key AI architectural decisions for products, and contribute to Airbnb’s ML platform architecture and strategy
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