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Computer Vision Engineer
HarnhamNew YorkOverviewManager / 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. Citiz
Computer Vision Engineer
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Computer Vision Engineer
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andurilCosta MesaAnduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model
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RevelystSan DiegoJob Description Computer Vision EngineerJob Overview As a Computer Vision Engineer at Foresight Sports, you’ll design and implement vision-based systems that enable real‑time tracking of golf balls, c
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BGSFMemphisOverview This range is provided by BGSF. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Our client is searching for a Video Analytics Engineer to
Computer Vision Engineer
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BlackhornvcRedwood CityIn this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and the
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Computer Vision Engineer
- New York, New York, United States
- New York, New York, United States
Über
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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Sprachkenntnisse
- English
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