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HomeCompaniesIdeogramResearch Engineer / Research Scientist (Pre-training)

Research Engineer / Research Scientist (Pre-training)

Ideogram · Toronto · On Site · Active · Ashby

Job facts

FieldValue
CompanyIdeogram
TitleResearch Engineer / Research Scientist (Pre-training)
Normalized title-
Department / teamMachine Learning / Machine Learning
LocationToronto, ON, Canada
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-06-03
Changed / last seen2026-06-04 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Ideogram.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Toronto.Open
Department jobsActive postings in Machine Learning.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyIdeogram
Source6422bff9-a387-4cd6-a4c3-7233864f5e35
ATS providerAshby

Description

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 4.0 , Character and Custom Models blog posts, and try Ideogram at 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 PhD or Master’s degree in Computer Science or equivalent industry experience. 5+ years of experience in AI research, including training, fine-tuning, and experimenting with foundation models beyond black-box use. Track record of first-author publications at top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV, ACL, EMNLP). Strong proficiency in one or more deep learning frameworks (e.g., JAX, PyTorch). Experience communicating complex research to peers. 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.

Full job record

Job IDa2c433bec2485062a0f03adbe6ff70b1a8cdbd70
Org ID442d705a-978a-4f00-aca9-733f2ba6f50c
Source ID6422bff9-a387-4cd6-a4c3-7233864f5e35
Board ID6422bff9-a387-4cd6-a4c3-7233864f5e35
Providerashby
Provider Job Keyd2131545-4215-42db-9d3b-718740dd6d76
TitleResearch Engineer / Research Scientist (Pre-training)
Normalized Title
Statusactive
Activeyes
Location TextToronto
DepartmentMachine Learning
TeamMachine Learning
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryCanada
RegionON
CityToronto
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/ideogram/d2131545-4215-42db-9d3b-718740dd6d76
Apply URLhttps://jobs.ashbyhq.com/ideogram/d2131545-4215-42db-9d3b-718740dd6d76/application
First Seen At2026-06-03 13:34:18Z
Last Seen At2026-06-06 20:32:29Z
Last Checked At2026-06-06 20:32:29Z
Last Changed At2026-06-04 13:16:04Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=ideogram/date=2026-06-06/2026-06-06T20-32-28-718Z-e485490f2dbd698f53b5dd57262c45b66d24fd5057e34f0c222954e0d41cffce.json
Event Fields
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  "last_changed_at": "2026-06-04T13:16:04.053Z",
  "active_status": "active"
}
Parsed Structured
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Extensions
{}
Native Structured
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  "department": "Machine Learning",
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  "workplaceType": "OnSite",
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  "secondaryLocations": [
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GET https://api.bluedoor.sh/job-postings/v1/sources/6422bff9-a387-4cd6-a4c3-7233864f5e35JSON
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