As a Member of Technical Staff on the Research team, you’ll push the boundaries of generative AI, advancing LLMs and multimodal systems through foundational research. Your work will enhance model efficiency, accuracy, and scalability, directly shaping our high-performance AI infrastructure. You’ll collaborate with top experts in deep learning, distributed systems, and optimization to bring cutting-edge research into real-world applications. You’ll also have the opportunity to shape how some of the world’s leading companies build and deploy AI through the models and tools you help create.
Key Responsibilities
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Conduct foundational research to advance the capabilities, efficiency, and reliability of LLMs and multimodal systems
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Design, implement, and evaluate novel model architectures, training methods, and optimization techniques
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Collaborate with engineering teams to transition research prototypes into production-grade systems
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Analyze empirical results, identify performance bottlenecks, and iterate quickly to improve model quality
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Contribute to internal research strategy by identifying high-impact opportunities and emerging trends in AI
Minimum Qualifications:
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Research background in Artificial Intelligence, Machine Learning, Physics, or similar field
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Experience solving analytical problems using analytic and quantitative approaches
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Experience communicating research to audiences with different backgrounds
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Experience coding in C/C++, Python, or other similar languages
Preferred Qualifications:
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PhD degree in Computer Science, Computational Physics, Mathematics, or a similar field
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Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions
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Experience having first-authored publications at peer-reviewed conferences or journals
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Experience working with ML frameworks such as PyTorch, TensorFlow, or Jax