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Applied Machine Learning

Join Ideogram as an Applied ML Engineer to bridge research and product, turning generative models into production features.

Location
Toronto
Compensation
Not disclosed
Level
mid
Type
full time · Hybrid

Posted by employer 2 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Ideogram → Save job Scanned from ideogram.ai

AI in the day-to-day

You’ll fine-tune and deploy models for creative use cases, contributing to safety, monitoring, and reliability of systems.

Requirements

Experience
1+ years

Not disclosed in this posting: compensation, visa sponsorship.

Benefits

401k Match Unlimited PTO Equity/Stock Options Health Insurance

Joblaze summary

In the role of Applied Machine Learning Engineer at Ideogram, the individual will focus on transforming advanced generative models into practical features for the company's applications and API. Proficiency in Python, PyTorch, and Jax is essential, along with experience in developing and deploying machine learning products that enhance user experience. This position is ideal for someone with at least a year of relevant experience who thrives in a fast-paced startup environment and values collaboration and ownership. Ideogram's culture emphasizes creativity and teamwork, making it a fitting place for innovative thinkers.

Joblaze insights

Quick facts

Is the Applied Machine Learning role remote?
It's hybrid — Ideogram expects some on-site time in Toronto.
How much experience is required?
At least 1 year of relevant experience for this Applied Machine Learning role.
Where is the role based?
Ideogram is hiring for this position in Toronto.
What's the tech stack?
Joblaze extracted these technologies from the posting: JAX, PyTorch, Python, Transformers, diffusion, encoders.
What seniority level is this role?
Ideogram targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Applied Machine Learning role at Ideogram.

From the original posting

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 4.0, 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.

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