Melwy · 3 hours ago

Senior Machine Learning Engineer - Language Models

San Francisco, CA

Full-time

Remote

Senior Level

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Biotechnology

Hiring Manager

Mostapha B.

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Responsibilities

Develop and implement state-of-the-art LLM architectures and training methods

Design and execute experiments to push the boundaries of LLM capabilities

Create efficient, scalable code for LLM training and inference

Build tools and infrastructure to support rapid prototyping and research

Bridge the gap between research concepts and practical applications

Stay current with the latest advancements in LLM research and contribute to the field

Qualification

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Machine LearningDeep LearningNatural Language ProcessingLLM FrameworksCUDAXLAAWS NeuronDistributed ComputingResearch ContributionsPassion for AI TechnologyEquivalentBig Tech ExperienceCollaborative Mindset

Required

PhD or Postdocs in Machine Learning, Computer Sciences, Numerical Analysis, Functional Analysis, Signal Processing, Control Theory, Statistics, Dynamical Systems, Mathematics, Statistical Physics, Neurosciences, or other quantitative fields, or equivalent experiences in industry

Strong background in deep learning, natural language processing, and LLMs

Experience with LLM frameworks (e.g., PyTorch, TensorFlow)

Proficiency in CUDA (for Nvidia GPUs), XLA (for Google TPUs), or AWS Neuron (for AWS Inferentia/Trainium)

Familiarity with distributed computing and large-scale model training

Track record of contributions to research projects or publications in the field of AI/ML

Self-motivated with the ability to work independently in a remote environment with minimal supervision

Strong online communication skills and a collaborative mindset

Passion for pushing the boundaries of AI technology