Applied Machine Learning

Ideogram is hiring an Applied Machine Learning in Toronto, Canada. Level rates it ; you can apply on Ideogram.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
Tools and skills the posting cites include PyTorch, JAX and Python.
Level classifies it as a mid-level role.
Level lists 1 other open role at Ideogram.

AI in this role

Bridge research and production by fine-tuning and deploying generative media models for creative applications.

pytorchjaxpython

machine-learninggenerative-modelsdiffusion-modelsmodel-fine-tuning

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.

Try Ideogram at ideogram.ai, and check out the following links to learn more about our work: Ideogram 4.5, Enterprise, and Custom Models.

The Opportunity

As an Applied ML Engineer at Ideogram, you’ll bridge research and product – turning frontier generative models into production features across our first-party app and API. You’ll experiment quickly, build rigorous evaluations and datasets, and partner with research, engineering, infra, while working directly/frequently with clients to ship reliable and scalable ML systems. You’ll fine-tune and deploy models for creative use cases (text-to-image, image-to-text, image enhancement and editing, multimodal), set clear client success metrics (quality, latency, cost), and contribute to safety, monitoring, and reliability of systems. You’ll lead 0 to 1 projects that shape Applied ML enterprise practices at Ideogram, while delivering features that create delight and real value for our users.

What We’re Looking For

1+ years of building and shipping ML products
You write backend code in Python/ PyTorch/ Jax
You design benchmarks and evaluation metrics, run error analyses, and debug numerical stability across data, training, and inference
You’ve taken ML features from idea to evaluation to production with measurable gains (quality, latency, or cost)
You collaborate with the product team to define success criteria and iterate quickly and pragmatically
You’re comfortable curating, labeling, and cleaning datasets, and designing evaluation corpora and failure-mode analyses
You’re familiar with modern deep learning such as transformers, diffusion, and encoders
You bring ownership, urgency, curiosity, and learn fast in a startup setting
Strong communication and interpersonal skills

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 4% 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.

How we rate this

Applied Machine Learning at Ideogram rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Applied Machine Learning is an open job at Ideogram.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Toronto.
The job was posted on July 6, 2026.
Seniority: mid.
Applications are handled by Ideogram. Apply on Ideogram

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningGenerative ModelsDiffusion ModelsModel Fine TuningPyTorchJAXPython

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where generative models was part of your work. What did you do?
Tell me about a project where diffusion models was part of your work. What did you do?
Tell me about a project where model fine tuning was part of your work. What did you do?
Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, Generative Models, Diffusion Models, Model Fine Tuning, and PyTorch. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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