Computer Vision Engineer

Harnham; New York (NY); On-site; USD 180,000 - 200,000; Full time

Job summary

A fast-growing U.S. startup is seeking a Manager / Lead Tech Recruiter to develop and deploy state-of-the-art diffusion models. The role requires 4+ years of experience in Machine Learning, expertise in Python, and knowledge of PyTorch. The position is on-site in New York City, offering competitive compensation up to $200K plus equity. The ideal candidate is comfortable managing end-to-end projects in a fast-paced startup environment.

Qualifications

• 4+ years of commercial experience in Machine Learning.
• Proven track record building or fine-tuning diffusion models.
• Comfortable owning projects end-to-end in a fast-paced startup.

Responsibilities

• Own the development and deployment of diffusion-based image generation models.
• Fine-tune models for specific use cases.
• Collaborate with engineers to iterate on workflows.

Skills

Machine Learning expertise

Diffusion models (e.g. Stable Diffusion)

Strong Python skills

Deep knowledge of PyTorch

Experience deploying ML models at scale

Tools

Docker

Kubernetes

Cloud infrastructure

Job description

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

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