Machine Learning Engineer
Description For Machine Learning Engineer
Ideogram, a cutting-edge generative AI startup, is seeking a dedicated Machine Learning Engineer to join their innovative team. Based in downtown Toronto with a small presence in NYC, Ideogram's mission is to empower people's creativity through state-of-the-art AI tools that make creative expression more accessible and efficient.
As a Machine Learning Engineer at Ideogram, you'll be at the forefront of AI innovation, working on complex challenges that push the boundaries of what's possible in generative AI. You'll collaborate directly with a founding team of world-renowned AI experts, including Jonathan Ho, William Chan, Chitwan Saharia, and Mohammad Norouzi, who have led transformative AI projects at prestigious institutions like Google Brain, UC Berkeley, CMU, and the University of Toronto.
Your role will involve building and deploying cutting-edge machine learning models at scale, working with a creative and ambitious team of engineers and researchers. You'll have the opportunity to contribute to groundbreaking projects similar to the team's previous work, which includes Imagen (Google's text-to-image system), Imagen Video, Denoising Diffusion Models, and other advanced AI applications.
The ideal candidate should have at least 2 years of experience in developing machine learning models using frameworks like JAX, PyTorch, or TensorFlow. You should be comfortable implementing complex ML foundations from scratch, have a track record in machine learning innovation, and possess an end-to-end understanding of generative media applications. Your ability to debug and iteratively improve model quality and performance will be crucial.
At Ideogram, you'll be part of a flat, collaborative team structure that transcends traditional roles, fostering an environment where everyone contributes to the company's and customers' success. The company culture emphasizes mentorship, support for career growth, and a commitment to inclusivity and diversity.
Join Ideogram to work on the cutting edge of AI technology, collaborate with some of the best minds in the field, and help shape the future of creative expression through artificial intelligence.
Responsibilities For Machine Learning Engineer
- Build and deploy state-of-the-art machine learning models at scale
- Work with a creative and ambitious team of engineers and researchers
- Collaborate directly with world-class machine learning experts
- Contribute to building the future of the creative economy
Requirements For Machine Learning Engineer
- 2+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlow
- Experience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratch
- Track record in machine learning innovation and familiarity with Deep Learning and advanced Machine Learning
- End-to-end understanding of generative media applications
- Ability to debug machine learning models to iteratively improve model quality and performance
Benefits For Machine Learning Engineer
- Mentorship and support for career growth
- Collaborative and inclusive work environment
- Opportunity to work with world-renowned AI experts
