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Computer Vision Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Harnham
Full Time position
Listed on 2026-02-07
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 200000 USD Yearly USD 200000.00 YEAR
Job Description & How to Apply Below
Location: New York

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, Control Net, etc.)
  • Fine-tune and adapt models for specific use cases (in painting, 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 Py Torch , 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

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