Harnham
Overview
Manager / Lead Tech Recruiter – AI & ML | U.S. Market From London | Ex-France Division Lead Location: NYC (5 days/week, on-site only) Compensation: Up to $200K + equity Eligibility: U.S. Citizens or Green Card holders only (no visa transfers or sponsorship) We’re working with a fast-growing U.S. startup backed by top-tier investors, and they’re hiring a Machine Learning Engineer with deep expertise in Diffusion Models to join their founding technical team in New York. This is a hands-on, highly technical role focused on developing, fine-tuning, and deploying image generation models in a real-world, commercial environment.
What You’ll Do
Own the development and deployment of
diffusion-based image generation models
(Stable Diffusion, ControlNet, etc.)
Fine-tune and adapt models for specific use cases (inpainting, outpainting, prompt conditioning, etc.)
Optimize inference pipelines for low-latency, production use
Build scalable, cloud-based APIs to serve model outputs
Collaborate with engineers and product to rapidly iterate on research-to-production workflows
What We’re Looking For
4+ years of commercial experience
in Machine Learning
Proven track record building or fine-tuning
diffusion models
(e.g. Stable Diffusion) in production environments
Strong Python skills and deep knowledge of
PyTorch , transformers, and generative architectures
Experience deploying ML models at scale (Docker, Kubernetes, cloud infra)
Comfortable owning projects end-to-end and working in a fast-paced startup setting
Seniority level
Associate
Employment type
Full-time
Job function
Information Technology and Project Management
Industries
IT System Data Services and Data Infrastructure and Analytics
Referrals increase your chances of interviewing at Harnham by 2x
#J-18808-Ljbffr
Manager / Lead Tech Recruiter – AI & ML | U.S. Market From London | Ex-France Division Lead Location: NYC (5 days/week, on-site only) Compensation: Up to $200K + equity Eligibility: U.S. Citizens or Green Card holders only (no visa transfers or sponsorship) We’re working with a fast-growing U.S. startup backed by top-tier investors, and they’re hiring a Machine Learning Engineer with deep expertise in Diffusion Models to join their founding technical team in New York. This is a hands-on, highly technical role focused on developing, fine-tuning, and deploying image generation models in a real-world, commercial environment.
What You’ll Do
Own the development and deployment of
diffusion-based image generation models
(Stable Diffusion, ControlNet, etc.)
Fine-tune and adapt models for specific use cases (inpainting, outpainting, prompt conditioning, etc.)
Optimize inference pipelines for low-latency, production use
Build scalable, cloud-based APIs to serve model outputs
Collaborate with engineers and product to rapidly iterate on research-to-production workflows
What We’re Looking For
4+ years of commercial experience
in Machine Learning
Proven track record building or fine-tuning
diffusion models
(e.g. Stable Diffusion) in production environments
Strong Python skills and deep knowledge of
PyTorch , transformers, and generative architectures
Experience deploying ML models at scale (Docker, Kubernetes, cloud infra)
Comfortable owning projects end-to-end and working in a fast-paced startup setting
Seniority level
Associate
Employment type
Full-time
Job function
Information Technology and Project Management
Industries
IT System Data Services and Data Infrastructure and Analytics
Referrals increase your chances of interviewing at Harnham by 2x
#J-18808-Ljbffr