TL;DR

ML Engineer (AI): Turning cutting-edge AI research into production-ready creative tools, building multi-stage inference systems for video, text, images, audio, and 3D content with an accent on real-time feedback and refinement. Focus on deep learning architectures, optimization, and tooling for generative media.

Location: Based in New York and will require relocation - sponsorship will be supported.

Company

%hirify_global%'s partner is an applied research lab building the future of AI-powered creative tools.

What you will do

Turn cutting-edge research into production systems that generate creative content.
Build multi-stage inference for video, text, images, audio, and 3D with real-time feedback and refinement.

Requirements

Deep knowledge of modern deep learning architectures, optimisation, and tooling.
Proficiency in PyTorch or JAX.
Experience designing, training, and evaluating deep learning systems.
Breadth across ML literature beyond just generative models.

Culture & Benefits

Work at the intersection of art and technology.
Access world-class compute resources.
Collaborate with leading researchers and artists.
Ship systems that millions of creators will use to bring their visions to life.