Applied Machine Learning Engineer at Ideogram

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Machine Learning, Generative AIIndustries

Requirements

3+ 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

Responsibilities

Bridge research and product – turning frontier generative models into production features across 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 systems
Lead 0 to 1 projects that shape Applied ML practices at Ideogram, while delivering features that create delight and real value for users

Skills

Machine Learning

PyTorch

JAX

Python

Model Fine-tuning

Model Deployment

Benchmarks

Evaluation Metrics

Error Analysis

Numerical Stability

Generative Models

Diffusion Models

Text-to-Image

Multimodal

Backend

Ideogram

Generates images from user ideas using AI

About Ideogram

Ideogram.ai is an AI platform that transforms user ideas into visually appealing images almost instantly. It uses generative AI technology to make creative expression accessible to a wide audience, including individual creators, artists, and businesses looking to improve their visual content. The platform operates on a freemium model, offering basic services for free while charging for premium features and subscriptions. This approach allows Ideogram.ai to generate revenue by providing advanced functionalities and enhanced experiences for paying users. What sets Ideogram.ai apart from its competitors is its ability to deliver high-quality images quickly and efficiently, catering to the growing demand for easy and fast creative solutions.

Toronto, CanadaHeadquarters

2022Year Founded

$93.9MTotal Funding

SERIES_ACompany Stage

Consumer Software, AI & Machine LearningIndustries

11-50Employees

Risks

Flux 1.1 Pro's superior speed and quality threaten Ideogram's market position.

Open-source models like Flux offer high-quality alternatives, increasing competition.

Google's Gemini project may surpass Ideogram in creating realistic AI-generated visuals.

Differentiation

Ideogram offers seamless text-to-image conversion, enhancing creative expression for diverse users.

The platform's freemium model attracts a wide audience, from individuals to businesses.

Ideogram 2.0 excels in text rendering, a key challenge in AI image generation.

Upsides

Ideogram's bulk image generation tool streamlines creative processes for users.

The new Ideogram Tile feature expands design possibilities with seamless pattern creation.

Ideogram's $80 million funding boosts its capacity for innovation and market expansion.

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