Computer Vision Manager

Harnham Inc.
New York, NY, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$250,000.0 - $300,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Computer Vision Machine Learning Language Modeling Open Source Technology Tensorflow Pytorch Large Language Models Deep Learning

Job description

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., * 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

Requirements

  • 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

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