Join Ideogram as an Applied ML Engineer to bridge research and product, turning generative models into production features.
Posted by employer 4 months ago
First seen on Joblaze 4 hours ago
Last verified on the company career page 4 hours ago
What you'll build
- Turn generative models into production features
- Build rigorous evaluations and datasets
- Partner with research and engineering teams
- Fine-tune and deploy models for creative use cases
- Lead projects that shape Applied ML practices
Must have
- 1+ years of building and shipping ML products
- Write backend code in Python/PyTorch/Jax
- Design benchmarks and evaluation metrics
- Collaborate with product team to define success criteria
- Curate, label, and clean datasets
Nice to have
- Familiarity with modern deep learning
- Strong communication and interpersonal skills
AI in the day-to-day
Engineers will fine-tune and deploy models for creative use cases, contributing to safety, monitoring, and reliability of systems.
Requirements
- Experience
- 1+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of Applied Machine Learning Engineer at Ideogram, the individual will focus on transforming advanced generative models into functional features for both the company's app and API. Proficiency in Python, PyTorch, and Jax is essential, along with experience in developing and deploying machine learning products that demonstrate measurable improvements. This position is suited for someone with at least a year of hands-on experience in ML, who thrives in a fast-paced startup environment and values collaboration. Ideogram's flat structure fosters a culture of ownership and mentorship, encouraging team members to innovate and contribute meaningfully.
Joblaze insights
- Listed today — first seen on Joblaze November 8, 2026. Last confirmed on Ideogram's careers page November 8, 2026.
- This exact title is also open at 1 other location at Ideogram: Toronto.
Quick facts
- How much experience is required?
- At least 1 year of relevant experience for this Applied Machine Learning role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: JAX, PyTorch, Python, Transformers, diffusion, encoders.
- What seniority level is this role?
- Ideogram targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Applied Machine Learning role at Ideogram.
From the original posting
The Opportunity
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.
What We’re Looking For
1+ 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
Strong communication and interpersonal skills
Standard company text repeated across Ideogram's postings is omitted here.