Ideogram

Full Stack Engineer

Toronto, Ontario New York, NY
gRPC GCP AWS Machine Learning Python JavaScript React
Description

Ideogram

Ideogram is a new generative AI startup looking for a dedicated Full Stack 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.

Founding team

Our founding team consists of world-renowned AI experts including Jonathan Ho, William Chan, Chitwan Saharia, and Mohammad Norouzi. This team has previously led transformative AI projects at Google Brain, UC Berkeley, CMU, and the University of Toronto. Our fundamental work in AI includes: Imagen: Google’s text-to-image system, Imagen Video for video synthesis, Denoising Diffusion Models, WaveGrad for speech synthesis, neural speech recognition, neural machine translation, contrastive learning for learning visual representations, and generative adversarial imitation learning.

About The Role

As a Full Stack Engineer, you will build a simple yet elegant product that helps millions of users experience the magic of image and video generation with AI. You will help shape the future of creative applications in the age of AI. You will be a key participant in defining Ideogram’s roadmap and product strategy, which will transform and expand the creative economy.

What We're Looking For

  • Experience with design and development of novel, scalable solutions for challenging problems

  • Strong data structure and algorithm fundamentals

  • Experience in writing scalable and reliable code (e.g., experience with gRPC, Protobufs, MapReduce, an obsession for simplicity).

  • Familiarity with Google Cloud Platform (GCP), Amazon Web Services (AWS), or similar cloud platforms

  • Strong analytical and problem-solving skills

  • Self-starter - able to come up to speed on complex, difficult concepts with minimal assistance

  • Experience communicating complex technical issues to technical and non technical team members

  • Excitement about generative AI technology and its impact on the creative economy.

  • Bachelor's degree in Computer Science, Engineering or related field

Nice to Have Skills

  • 5+ years of engineering experience at tech and product-driven companies

  • Have prior experience working closely with ML engineers to developing and deploying machine learning models

  • Proficiency in Python, JavaScript, and React

  • Passion for building simple and self-explanatory user interfaces

  • Possess a track record of rapidly prototyping ideas and bringing them to life

  • Exhibit strong people and presentation skills

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 whatever necessary to create a delightful product for our users. 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 our technical team, you’ll own projects end-to-end, directly engaging with our customers. From designing a machine learning system to developing the product and UX design, you will have a direct impact. 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. It is not about race, gender, or age, it is about the people.

Ideogram
Ideogram
Artificial Intelligence (AI) Generative AI Information Technology Internet

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