Senior Machine Learning Research Scientist

Advance model efficiency and real-time learning as a Senior Research Scientist building adaptive systems through Python and deep learning.

This research role focuses on models that continuously evolve with the world. You will explore efficiency, gradient-free exploration, real-time learning, and interface design. Research connects with working products, emphasizing measurable real-world impact across the full machine learning stack.

Key Responsibilities:

• Develop ideas rapidly with focus on research impact
• Optimize software, hardware, and algorithms across systems
• Build models that continuously evolve with the world
• Connect research decisions with product outcomes

Requirements:

• PhD or equivalent research experience in computer science
• Four to five or more years of industry experience
• Publishing record at ICML, NeurIPS, ACL, ICLR, or EMNLP
• Expertise in model efficiency, real-time alignment, or algorithmic optimization
• Strong Python and deep learning framework programming skills

Apply systems thinking, Python, and model optimization expertise to advance efficient intelligence that adapts in real time.

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