Harnham
Computer Vision Manager
$250,000-$300,000 base + equity + benefits
Remote
About the Organization
Harnham is working with a rapidly growing AI startup addressing complex real-world problems with state-of-the-art technology. Their focus is on building intelligent systems that integrate computer vision, multimodal models, and generative AI to redefine how industries function. Backed by top-tier investors and already working with enterprise clients, this is an opportunity to join a high-growth company where your contributions will directly shape mission-critical workflows.
About the Role
They are looking for a Manager to lead a growing Computer Vision Engineering team. This position is perfect for someone who can balance hands-on engineering with guiding and mentoring a team, setting the technical vision while driving delivery of production-ready AI solutions. In this role, you'll spearhead the development of advanced vision pipelines-including diffusion, detection, segmentation, transformers, and 3D vision-and work on integrating them with large language models (LLMs) and vision-language models (VLMs) to build robust, real-world multimodal systems.
Responsibilities Lead, mentor, and support a team of computer vision and ML engineers, fostering collaboration, innovation, and professional growth Define and execute the technical roadmap for vision-focused initiatives Design and deliver advanced computer vision solutions spanning detection, segmentation, classification, 3D perception, diffusion and multimodal pipelines Drive the integration of vision models with LLMs and VLMs to enable reasoning and automation Partner with cross-functional teams to transition cutting-edge research into scalable, production-ready systems Stay at the forefront of research in transformers, diffusion models, and multimodal agents, applying breakthroughs to real-world applications Experience
7+ years of professional experience in computer vision, deep learning, or applied machine learning At least 2 years in a management role with demonstrated success directly managing teams or projects Strong hands-on experience with modern ML frameworks such as PyTorch or TensorFlow Proven track record of deploying production-scale computer vision systems Familiarity with vision transformers, multimodal models (e.g., CLIP, BLIP, Flamingo), and generative AI Excellent communication skills with the ability to engage both technical and non-technical stakeholders Based in the U.S. (NYC preferred, though remote is an option) Contributions to open-source CV/AI initiatives or publications at leading conferences are a plus
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Computer Vision | 3D Reconstruction | Diffusion | RAG | Retrieval Augmented Generation | Agents | Agentic AI | Generative AI
$250,000-$300,000 base + equity + benefits
Remote
About the Organization
Harnham is working with a rapidly growing AI startup addressing complex real-world problems with state-of-the-art technology. Their focus is on building intelligent systems that integrate computer vision, multimodal models, and generative AI to redefine how industries function. Backed by top-tier investors and already working with enterprise clients, this is an opportunity to join a high-growth company where your contributions will directly shape mission-critical workflows.
About the Role
They are looking for a Manager to lead a growing Computer Vision Engineering team. This position is perfect for someone who can balance hands-on engineering with guiding and mentoring a team, setting the technical vision while driving delivery of production-ready AI solutions. In this role, you'll spearhead the development of advanced vision pipelines-including diffusion, detection, segmentation, transformers, and 3D vision-and work on integrating them with large language models (LLMs) and vision-language models (VLMs) to build robust, real-world multimodal systems.
Responsibilities Lead, mentor, and support a team of computer vision and ML engineers, fostering collaboration, innovation, and professional growth Define and execute the technical roadmap for vision-focused initiatives Design and deliver advanced computer vision solutions spanning detection, segmentation, classification, 3D perception, diffusion and multimodal pipelines Drive the integration of vision models with LLMs and VLMs to enable reasoning and automation Partner with cross-functional teams to transition cutting-edge research into scalable, production-ready systems Stay at the forefront of research in transformers, diffusion models, and multimodal agents, applying breakthroughs to real-world applications Experience
7+ years of professional experience in computer vision, deep learning, or applied machine learning At least 2 years in a management role with demonstrated success directly managing teams or projects Strong hands-on experience with modern ML frameworks such as PyTorch or TensorFlow Proven track record of deploying production-scale computer vision systems Familiarity with vision transformers, multimodal models (e.g., CLIP, BLIP, Flamingo), and generative AI Excellent communication skills with the ability to engage both technical and non-technical stakeholders Based in the U.S. (NYC preferred, though remote is an option) Contributions to open-source CV/AI initiatives or publications at leading conferences are a plus
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Computer Vision | 3D Reconstruction | Diffusion | RAG | Retrieval Augmented Generation | Agents | Agentic AI | Generative AI