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 effective intelligence that adapts in real time.

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