Ideogram Logo

Ideogram

Applied Machine Learning

Reposted 3 Months Ago
In-Office
Toronto, ON, CAN
Junior
In-Office
Toronto, ON, CAN
Junior
Build and deploy generative ML features for Ideogram's app and API: fine-tune and ship models, design evaluations and datasets, run error analyses, monitor reliability, and collaborate with research, infra, product, and clients to meet quality, latency, and cost goals.
The summary above was generated by AI
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.

Similar Jobs

Entry level
Edtech • Professional Services
Supports the Affective and Persuasive Computing course by assisting students with serious game design and persuasive strategies, grading assignments, proctoring assessments, and providing student contact support. Candidates must have research experience in affective computing and applied machine learning, along with familiarity with game development and persuasive technology.
Top Skills: Affective ComputingApplied Machine LearningGame DevelopmentPersuasive TechnologySerious Games
4 Days Ago
In-Office
Toronto, ON, CAN
Senior level
Senior level
Fintech • Insurance • Financial Services
Leads and mentors applied machine learning teams, directs the design and delivery of enterprise AI/ML systems, develops innovative methodologies, translates business objectives into scalable solutions, and partners with technical and business stakeholders. The role also drives strategic analytics initiatives, system monitoring, governance and regulatory compliance, continuous improvement, and team development.
Top Skills: Ai/Ml
9 Days Ago
Remote or Hybrid
CA
Internship
Internship
Artificial Intelligence • Information Technology • Software
AI/ML engineering intern will help design, build, evaluate, and deploy LLM-powered applications and machine learning systems. Responsibilities include developing data pipelines, working with structured and unstructured data, supporting model training and optimization, preparing systems for production monitoring, and collaborating with engineers, researchers, and product teams. The role offers mentorship and hands-on experience applying AI to healthcare, government, and energy workflows.
Top Skills: Generative AiJaxLarge Language Models (Llms)PythonPyTorchRetrieval-Augmented Generation (Rag)TensorFlow

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account