Applied Machine Learning Engineer

IdeogramNew York, NY
60dRemote

About The Position

As Ideogram’s first Applied ML Engineer, 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, and product 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 success metrics (quality, latency, cost), and contribute to safety, monitoring, and reliability of our systems. You’ll lead 0 to 1 projects that shape Applied ML practices at Ideogram, while delivering features that create delight and real value for our users.

Requirements

  • 3+ 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.

Responsibilities

  • Turning 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 product 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 success metrics (quality, latency, cost)
  • Contribute to safety, monitoring, and reliability of our systems.
  • Lead 0 to 1 projects that shape Applied ML practices at Ideogram, while delivering features that create delight and real value for our users.

Benefits

  • 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 team lunches every Tuesday and dinners every Thursday.
  • 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.
  • Fully remote flexibility across North America, with regular in-person team meetups and collaboration opportunities.
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