Research Engineer / Research Scientist(Post-training)

About Ideogram Ideogram’s mission is to make

world‑class design accessible to everyone, multiplying human

creativity. We build proprietary generative media models and AI

native creative workflows, tackling unsolved challenges in graphic

design. Our team includes builders with a track record of

technology breakthroughs including early research in Diffusion

Models, Google’s Imagen, and Imagen Video. We care about design,

taste, and craft as much as research and engineering – shipping

experiences that creatives actually love. We've raised nearly

100M, led by Andreessen Horowitz and Index Ventures. Headquartered

in Toronto with a growing team in NYC, we're scaling fast, aiming

to triple over the next year. We're a flat team with a culture of

high ownership, collaboration, and mentorship. Explore Ideogram

3.0, Canvas, and Character blog posts, and try Ideogram at

ideogram.ai.

The Opportunity In this role, you

will develop the post‑training pipeline for our text‑to‑image

foundation models end to end, from data strategy to deployment,

advancing techniques such as RLHF, RLAIF, and work on

personalization / customization. You will contribute to post‑training

research that drives measurable gains, and implement and maintain

high‑throughput fine‑tune / eval pipelines. You'll work with a

creative and ambitious team of engineers and researchers who are

building the future of the creative

economy.

What we’re looking

5+ 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.

Our Culture We’re a

team of exceptionally talented, curious builders who love solving

tough problems and turning bold ideas into reality. We move fast,

collaborate deeply, and operate without unnecessary hierarchy,

because we believe the best ideas can come from anyone. Everyone at

Ideogram rolls up their sleeves to make our products and our

customers successful. We thrive on curiosity, creativity, and

shared ownership. We believe that small, dedicated teams working

together with trust and purpose can move faster, think bigger, and

create amazing things. Ideogram is committed to welcoming everyone

regardless of gender identity, orientation, or expression. Our

mission is to create belonging and remove barriers so everyone can

create boldly.

What we

offer

Competitive compensation and

equity

designed to recognize the value and

impact of your contributions to Ideogram’s

success.

4 weeks of vacation to recharge and

explore.

Comprehensive health, vision, and

dental

coverage starting on day

one.

RRSP / 401(k) with employer match up to

to invest in your future from the moment

you join.

Top‑of‑the‑line tools and

tech

to fuel your creativity and

productivity.

Toronto HQ

perks :

Steps from Union Station and the PATH,

with daily in‑office lunches and

dinners.

Autonomy to explore and

experiment

whether you’re testing new ideas,

running large‑scale experiments, or diving into research, you’ll

have access to compute / resources you need when there’s a clear

business or creative use case. We encourage curiosity and bold

thinking.

A culture of learning and

growth,

where curiosity is encouraged and

mentorship is part of the

journey.

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