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Lead AI Researcher

Mila - Quebec Artificial Intelligence Institute
Montreal, Quebec, Canada
Full-time
AI tools:
TensorFlow
PyTorch
Applications go directly to the hiring team

Join Mila, a leader in AI research, as a Lead AI Researcher and help drive innovative advancements in deep learning, natural language processing, and more. You'll collaborate with over 1,200 experts and have a significant impact on real-world AI applications, all while enjoying a fully remote work culture.

Full-time
Fully Remote
Senior (8+ years)
Doctorate (Ph.D.) in Computer Science, Computational Neuroscience, or a related field strongly preferred

Skills & Expertise

deep learning
natural language processing
computer vision
representation learning
Python
TensorFlow
PyTorch
generative models

Key Responsibilities

Lead research initiatives to advance the state of AI technology.

Design experiments and publish high-impact research in top-tier journals.

Mentor junior researchers and collaborate with interdisciplinary teams.

Full Description

Company Description

Mila - Quebec Artificial Intelligence Institute, founded by Professor Yoshua Bengio of the University of Montreal, is a globally recognized research institute specializing in artificial intelligence. Based in Montreal, Mila fosters scientific innovation and growth in AI for the benefit of society. Mila is internationally known for its groundbreaking contributions to deep learning, including advancements in areas like language modeling, computer vision, natural language processing, generative models, and healthcare applications. With over 1,200 specialized researchers, it is a hub of cutting-edge research aimed at understanding fundamental AI principles and applying them to practical, transformative applications. Mila’s mission is rooted in using AI to address real-world challenges and drive meaningful progress.

Role Description

This is a full-time remote position for a Lead AI Researcher. The Lead AI Researcher will lead research initiatives focused on advancing the state of AI, including developing models and algorithms in areas such as deep learning, natural language processing, computer vision, and representation learning. Key responsibilities include designing and conducting experiments, publishing high-impact research papers, contributing to open-source AI projects, and mentoring junior researchers. The role also involves participating in collaborations with academic, industry, and cross-disciplinary teams to foster innovation and achieve advancements in AI applications.

Qualifications

* Strong expertise in deep learning, representation learning, supervised and unsupervised learning, and generative models

* Proficiency in implementing models and algorithms in programming languages such as Python, and frameworks like TensorFlow or PyTorch

* Experience in computational applications, including natural language processing, computer vision, and modeling signals like speech or healthcare data

* Proven track record of high-quality research publications in peer-reviewed journals or top-tier AI conferences

* Excellent problem-solving skills, and a strong foundation in underlying mathematical principles such as linear algebra, statistics, and optimization

* Ability to lead research teams, mentor junior researchers, and collaborate effectively in interdisciplinary environments

* Doctorate (Ph.D.) in Computer Science, Computational Neuroscience, or a related field is strongly preferred

* Strong communication skills to explain complex AI concepts to both technical and non-technical audiences

* Familiarity with ethical AI practices and a demonstrated commitment to the responsible development of AI technologies

Applications go to the hiring team directly