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Applied Machine Learning

Ideogram· Machine Learning
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TorontoFull-timePosted 11mo ago

About the role

Applied ML Engineer at Ideogram bridging research and product to turn frontier generative models into production features for the first-party app and API; responsible for experiments, evaluations, datasets, model fine-tuning, deployment, and contributing to safety, monitoring, and reliability.

Responsibilities

  • Turn frontier generative models into production features across our first-party app and API
  • Experiment quickly, build rigorous evaluations and datasets
  • Partner with research, engineering, infra, and clients to ship reliable and scalable ML systems
  • 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)
  • Contribute to safety, monitoring, and reliability of systems
  • Lead 0 to 1 projects that shape Applied ML enterprise practices at Ideogram
  • Deliver features that create delight and real value for users

Qualifications

  • 1+ years of building and shipping ML products
  • Backend code writing in Python/PyTorch/Jax
  • Design benchmarks and evaluation metrics, run error analyses, debug numerical stability across data, training, and inference
  • Experience taking ML features from idea to evaluation to production with measurable gains (quality, latency, or cost)
  • Collaborate with product team to define success criteria and iterate quickly
  • Comfort with curating, labeling, and cleaning datasets, and designing evaluation corpora and failure-mode analyses
  • Familiarity with modern deep learning such as transformers, diffusion, and encoders
  • Ownership, urgency, curiosity, and fast learning in a startup setting
  • Strong communication and interpersonal skills

Skills

Required:Backend developmentEvaluation and benchmarkingDataset curation and labelingMultimodal ML conceptsCross-functional collaborationCommunication

Benefits

  • Competitive compensation and equity
  • 4 weeks of vacation
  • Comprehensive health, vision, and dental coverage starting day one
  • RRSP/401(k) with employer match up to 4%
  • Top-of-the-line tools and tech
  • Toronto HQ perks: steps from Union Station and PATH, daily in-office lunches and dinners
  • Autonomy to explore and experiment with compute/resources when there is a clear business or creative use case
  • Culture of learning and growth with mentorship
Last updated Aug 19, 2026. Interested? Apply on the company site.

About Ideogram

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