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必須スキル
PyTorch
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 https://ideogram.ai/features/3.0, Canvas https://ideogram.ai/features/canvas, and Character https://ideogram.ai/features/character blog posts, and try Ideogram at ideogram.ai http://ideogram.ai.
THE OPPORTUNITY:
In this role, you'll push the frontier of visual generative models. You’ll work on large-scale pre-training for our text-to-image foundation models, shaping objectives, algorithms, data, and systems, and turn novel ideas into models that power products used by millions of users. You'll work with a creative and ambitious team of researchers and engineers who are building the future of the creative economy.
WHAT WE'RE LOOKING FOR:
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PhD or Master’s degree in Computer Science or equivalent industry experience.
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5+ years of experience in AI research, including training, fine-tuning, and experimenting with foundation models beyond black-box use.
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Track record of first-author publications at top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV, ACL, EMNLP).
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Strong proficiency in one or more deep learning frameworks (e.g., JAX, Py Torch).
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Experience communicating complex research to peers.
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Solid knowledge of programming languages and experience in developing, debugging, and optimizing beyond ML systems.
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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Ideogramについて

Ideogram
Series AIdeogram is an AI company that develops text-to-image generation models and creative tools. The company focuses on producing high-quality visual content from text prompts using advanced machine learning techniques.
1-50
従業員数
New York
本社所在地
$200M
企業価値
給与レンジ
1件のデータ
Senior/L5
Senior/L5 · Member of Technical Staff
1件のレポート
$234,000
年収総額
基本給
$180,000
ストック
-
ボーナス
-
$234,000
$234,000
ニュース&話題
How I train AI to do Remote Viewing (Part 1 – chat-based, no API needed)
Most “AI remote viewing experiments” just ask a model: *“What’s in this photo?”* and call it a day. What I’m doing instead is treating the LLM **as a viewer** and training it across days, using a real RV protocol, vocabulary and feedback loop – first entirely in the normal chat interface (no API, no code). Here’s how I do it. # 1. Goal and mindset My goal with Lumen/Orion wasn’t: *“make ChatGPT guess targets”*. It was: * train an AI to behave as an **IS-BE remote viewer**, * give it a **p
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