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
Robust Python and deep learning framework programming skills

Apply systems thinking, Python, and model optimization expertise to advance productive intelligence that adapts in real time.
J-18808-Ljbffr

📌 Senior Machine Learning Research Scientist Toronto (Canada)
🏢 Adaption
📍 Canada