HireTalent - Staffing & Recruiting Firm•New York, NY
0000
Mid-Senior levelPosted March 14, 2026Job link
Thinking about this job
Responsibilities
Responsibilities
Chase small wins that matter (a 0.01% improvement can be the line between amateur and pro).
Build multi-stage inference pipelines for video, text, images, audio, and 3D – with real-time feedback and human-in-the-loop refinement.
Serve large multimodal models with sub-second latency and progressive rendering.
Apply quantization, distributed serving, and memory optimizations to run at a billion-request scale.
Not Met Priorities
What still needs stronger evidence
Requirements
Deep knowledge of modern deep learning architectures, optimization, and tooling.
Proficiency in PyTorch or JAX.
Experience designing, training, and evaluating deep learning systems.
Breadth across ML literature (beyond just generative models).
Preferred Skills
Breadth across ML literature (beyond just generative models).
Job Title: Machine Learning Engineer Contract Length: Direct Placement Location: Hybrid – Financial District, New York, NY Goal: Turn cutting-edge research into production systems that generate professional-grade creative content. You will: Scale models from “cool demo” to assets used in real ads, films, and design work. Chase small wins that matter (a 0.01% improvement can be the line between amateur and pro). Build multi-stage inference pipelines for video, text, images, audio, and 3D – with real-time feedback and human-in-the-loop refinement. Serve large multimodal models with sub-second latency and progressive rendering. Apply quantization, distributed serving, and memory optimizations to run at a billion-request scale. Candidate Background: Deep knowledge of modern deep learning architectures, optimization, and tooling. Proficiency in PyTorch or JAX. Experience designing, training, and evaluating deep learning systems. Breadth across ML literature (beyond just generative models).
HireTalent - Staffing & Recruiting Firm
•
New York, NY