Machine Learning Engineer, Ideogram
Generative media tools
Open for applications
Generative media tools
1-20 employees
Open for applications
1-20 employees
Company mission
To help people become more creative through generative AI.
Role
Who you are
- 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 and excitement for pushing the state-of-the-art in generative AI
- Ability to debug machine learning models to iteratively improve model quality and performance
- Nice to have: Familiarity with kubernetes and docker
- Optional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel code
What the job involves
- As a Machine Learning Engineer, you will build and deploy state of the art machine learning models at scale
- You will work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy with highly complex challenges
- You will work directly with some of the best machine learning experts in the world, who have an exceptional track record of setting the vision and executing generative AI projects
Our take
With text-to-image software well and truly in the public conscience, Ideogram has launched a platform to support creativity, while capitalising on the popularity of AI image creation services.
Its generative AI platform requires a prompt and rendering style - think anime, fantasy, or cinematic - from which it creates a high quality image for the user. As with other platforms of its type, the images tend to be flawed but interesting, and it appears that almost anything can be created.
Of course, there is a downside to launching into a market that is under such a strong spotlight, especially as many artists raise concerns over their work being used to train image creation AI without their consent. For its part, Ideogram claims to operate with a "high standard for trust and safety", utilizing a $22.3 million CAD funding round to grow its team and footprint.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (2 rounds)
Feb 2024
$80m
SERIES A
Aug 2023
$16.5m
SEED
Total funding: $96.5m
Company HQ
St. Lawrence, Toronto, ON
Articles
Leadership
Mohammad Norouzi
(Co-founder & CEO)Was a Senior Staff Research Scientist at Google for 7 years.
William Chan
(Co-founder & CTO)Spent 7 years at Google, ultimately as a Google Brain Staff Research Scientist.
Chitwan Saharia
(Co-founder)Spent 3 years at Google, ultimately as a Senior Research Scientist. Prior to this, was a Research Assistant at the Montreal Institute for Learning Algorithms.
Jonathan Ho
(Co-founder)Previously a Research Scientist for Google and for OpenAI.
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