Machine Learning Engineer

2 months ago


Old Toronto, Ontario, Canada IDEOgram Full time

About Ideogram

Ideogram is a pioneering generative AI startup dedicated to empowering creativity through cutting-edge AI tools. Our mission is to democratize access to creative expression, making it more enjoyable, efficient, and accessible for everyone.

Our Vision

We're pushing the boundaries of what's possible with AI, focusing on creativity, trust, and safety. Our team of experts is committed to developing innovative AI solutions that transform the creative economy.

The Role

We're seeking a highly skilled Machine Learning Engineer to join our team. As a key member, you'll design and deploy state-of-the-art machine learning models at scale, collaborating with our team of experts to tackle complex challenges in the creative economy.

Key Responsibilities

  • Develop and implement machine learning models using JAX, PyTorch, or TensorFlow.

  • Implement machine learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratch.

  • Drive machine learning innovation and advance Deep Learning and Machine Learning capabilities.

  • Collaborate with our team to develop end-to-end solutions for generative media applications.

  • Debug and optimize machine learning models to improve quality and performance.

  • Familiarity with Kubernetes and Docker is a plus.

  • Optional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel code.

Our Culture

We're a small, dedicated team that values collaboration, innovation, and creativity. As a member of our team, you'll have the opportunity to own projects end-to-end, directly engaging with our customers and contributing to the growth and success of Ideogram.

What We Offer

We provide a supportive and inclusive environment that fosters growth and development. Our team is committed to mentoring and supporting each other to achieve ambitious career goals.

Our Commitment

Ideogram is dedicated to creating a welcoming and inclusive space for everyone, regardless of gender identity, orientation, or expression. We strive to remove exclusivity and barriers, encouraging new thinking and perceptions in a space of belonging.



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