Machine Learning Researcher

Ideogram; Toronto; On-site; CAD 100,000 - 150,000; Full time

Job summary

Ideogram is looking for an experienced AI researcher to develop and deploy state-of-the-art machine learning models. The role requires a PhD or Master's degree, with over 5 years of experience in AI research and proficiency in deep learning frameworks. Join a dynamic team pushing the boundaries of creativity and AI in Toronto, where you'll collaborate, innovate, and contribute to groundbreaking projects.

Qualifications

• 5+ years of experience in AI research.
• Strong proficiency in one or more deep learning frameworks.
• Track record of first-author publications at top-tier AI conferences.

Responsibilities

• Work with a creative team of engineers and researchers.
• Tackle complex challenges in building AI models.
• Learn from leading machine learning experts.

Skills

Deep learning frameworks

Research communication

Programming languages

Education

PhD or Master’s degree in Computer Science

Job description

Ideogram is focused on democratizing professional-quality design by building an AI-native application. They aim to empower creative individuals and teams to produce high-quality content more efficiently and affordably. The company emphasizes creativity, trust, and safety in their AI development. They are pushing the boundaries of what is possible with AI. They have a headquarters in downtown Toronto and a presence in NYC.

About Job Description:

Mission: To push the frontier of AI and build/deploy state-of-the-art machine learning models at scale.

Responsibilities:

• Work with a creative team of engineers and researchers.
• Tackle complex challenges in building the future of the creative economy.
• Learn directly from leading machine learning experts.

Requirements:

• PhD or Master’s degree in Computer Science or equivalent industry experience.
• 5+ years of experience in AI research, including training, fine-tuning, and experimenting with foundation models beyond black-box use.
• Track record of first-author publications at top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV, ACL, EMNLP).
• Strong proficiency in one or more deep learning frameworks (e.g., JAX, PyTorch).
• Experience communicating complex research to peers.
• Solid knowledge of programming languages and experience in developing, debugging, and optimizing beyond ML systems.

Nice to Have:

• Experience in low-level machine learning optimization, such as writing CUDA kernel code.

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