Software Engineer, Ideogram
ML Data Infrastructure
Offers equity
Generative media tools
Be an early applicant
Generative media tools
21-100 employees
Be an early applicant
Offers equity
21-100 employees
Company mission
To make professional-quality design accessible to everyone.
Role
Who you are
- 2-5 years developing and shipping large-scale distributed systems with proven ability to manage complexity through thoughtful abstractions and scalable design
- Strong fundamentals in data structures, algorithms, and distributed systems
- Strong understanding of databases and data storage architectures
- Hands-on experience with large-scale data processing systems
- Demonstrated ability to drive projects from 0 to 1, including scoping, execution, and iteration
- Deep sense of ownership - proactively identifies opportunities, suggests improvements, and acts on them
- Thrives in fast-moving, ambiguous environments with a strong bias toward action
- Asks great questions, thinks from first principles, and seeks out resources to deepen understanding
What the job involves
- We're seeking an experienced engineer to join our team as a Software Engineer, ML Data Infrastructure
- You’ll collaborate with exceptional engineers to build cutting-edge AI design experiences that delight millions of users
- Tackling complex technical challenges collaboratively, from scaling distributed systems to enabling new generative media experiences
- Building robust data infrastructure that powers foundation models at petabyte scale, ensuring reliability and performance across multi-modal training pipelines
- Optimizing data processing workflows for massive throughput, working hands-on with distributed systems, TPU infrastructure, and large-scale storage solutions
- Partnering with research scientists to understand data requirements and translating them into production-grade systems that accelerate model development cycles
- Our Stack:
- Our backend infrastructure is primarily written in Python and makes use of the following technologies (experience with them is helpful but not strictly required):
- Kubernetes
- GCP, Google Bigtable, Google BigQuery, Google Spanner, Google Pub/Sub
- Docker & Terraform
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 slightly 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 $22.3M CAD funding round to grow its team and footprint.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Feb 2024
$80m
SERIES A
Aug 2023
$16.5m
SEED
Total funding: $96.5m
Company HQ
Financial District, Toronto, ON
Leadership
Mohammad Norouzi
(Co-Founder & CEO)Previously 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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