Machine Learning Engineer, Applied AI
About The Position
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.
Requirements
- 1+ years of building and shipping ML products
- Write backend code in Python/ PyTorch/ Jax
- Design benchmarks and evaluation metrics, run error analyses, and debug numerical stability across data, training, and inference
- Taken ML features from idea to evaluation to production with measurable gains (quality, latency, or cost)
- Collaborate with the product team to define success criteria and iterate quickly and pragmatically
- Comfortable curating, labeling, and cleaning datasets, and designing evaluation corpora and failure-mode analyses
- Familiar with modern deep learning such as transformers, diffusion, and encoders
- Bring ownership, urgency, curiosity, and learn fast in a startup setting
- Strong communication and interpersonal skills
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, and infra.
- Work directly/frequently with 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 our users.
Benefits
- Competitive compensation and equity
- 4 weeks of vacation
- Comprehensive health, vision, and dental coverage starting on day one
- RRSP/401(k) with employer match up to 4%
- Top-of-the-line tools and tech
- Daily in-office lunches and dinners
- Autonomy to explore and experiment
- Access to compute/resources needed for clear business or creative use cases
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
