ML Engineer AI Research · · View role →

Rendair; United States; Remoto; USD 120.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work

Direct line to CTO

Descrizione del lavoro

Rendair is seeking a senior ML engineer to advance architectural visualization models. You will evaluate, fine-tune, and deploy diffusion-based approaches that power images, animations, and design variations for architects and real estate professionals.

You will collaborate with product and infrastructure teams, shaping pipelines, prompts, and evaluation metrics, while delivering production-ready capabilities in a remote, full-time setting.

Competenze

• Experience training or fine tuning diffusion models for architectural tasks.
• Ability to design evaluation methods beyond loss curves.
• Proven experience shipping models from notebook to production service.
• Strong writing and communication skills.

Mansioni

• Evaluate new image and video models for architectural tasks and recommend what ships.
• Train and fine tune adapters for materials, styles and drawing types.
• Design pipelines and prompt strategies behind the apps, with the product team
• Build the evaluation sets and the metrics that tell us when something got better
• Work with the infrastructure engineers to take it to production

Conoscenze

Hands-on experience training or fine-t

Strumenti

PyTorch

Diffusers

HuggingFace stack

Descrizione del lavoro

About Rendair

Rendair is a visualization platform built for architects, interior designers and real estate professionals. Our tools combine advanced AI models with intuitive workflows, so users generate high quality images, animations and design variations in seconds. More than a million people in 180 countries use it, and the team behind it is small, remote and growing.

The role

You decide what the models can do for architects and make it reliable. You evaluate new models, fine tune and train adapters for architectural work, design the pipelines and prompts behind each app, and measure quality in a way the product team can act on.

What you will do

• Evaluate new image and video models on architectural tasks and recommend what ships
• Train and fine tune adapters (LoRA and similar) for materials, styles and drawing types
• Design the pipelines and prompt strategies behind the apps, with the product team
• Build the evaluation sets and the metrics that tell us when something got better
• Work with the infrastructure engineers to take it to production

What we look for

• Hands on experience training or fine tuning diffusion models
• Strong PyTorch, and comfort with Diffusers and the HuggingFace stack
• A practical sense of evaluation beyond a loss curve
• Experience taking a model from a notebook to a service
• Clear writing

Bonus: ControlNet style conditioning, image to 3D, video models, architecture or design background.

How we work together

Full time, remote, in the AI research team with a direct line to the CTO.