Ideogram
Ideogram is a new generative AI startup looking for a dedicated Machine Learning Data Engineer to join the team. Our mission is to help people become more creative.
We are developing state-of-the-art AI tools that will make creative expression more accessible, fun, and efficient. We are pushing the limits of what’s possible with AI, with a focus on creativity and a high standard for trust and safety.
Our headquarters is in downtown Toronto, but we have a small presence in NYC too. Check out our text to image product at ideogram.
ai to get a glimpse of what we're building.
About the role
As a ML Data Engineer, you will build state-of-the-art machine learning data infrastructure. You will build infrastructure to manage large scale datasets, build data processing tools, build data understanding tools, and most importantly research and innovate in the interplay between ML and data.
What we're looking for
Experience with large scale data processing with MapReduce, Spark, Beam, Kubernetes.
Experience with SQL and no-SQL databases.
Python.
Applied machine learning experience, prior experience in training ML models on large scale datasets.
Image processing experience appreciated.
HTML / Javascript / CSS experience appreciated.
Engineering Culture
We're a small and committed technical team that oversees engineering, research, design, product, and operation. Everyone on the team is willing to do what's necessary to create a delightful product for our customers.
We believe that a small dedicated team with a collaborative culture can move faster and build better and more coherent products than large hierarchical organizations.
As a member of the team, you’ll own projects end-to-end, directly engaging with our customers. At Ideogram, we provide mentorship and support to help our employees grow with the company and achieve their ambitious career goals.
Ideogram is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging.
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