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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

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To Apply for this Job Click Here

Computer Vision / ML Manager

The Role

The client is building new AI/ML architectures to transform how blueprint, image, and real-world data are captured and used. You’ll play a key role in both design and execution, starting with structuring schematics and expanding to drone imagery and 3D reconstruction.

Responsibilities

• Lead and mentor a small ML team (engineers & data scientists).
• Design, build, and deploy production-grade ML models at scale.
• Drive CV projects: object detection, segmentation, analysis, and (bonus) 3D reconstruction.
• Work with transformers, neural networks, and generative models.
• Collaborate with product/engineering to turn workflows into data-driven features.
• Define data labeling strategies and architecture foundations.

Requirements

• 5+ years as ML Tech Lead/Manager with people leadership.
• Strong CV expertise (object detection, segmentation; 3D a plus).
• Proven experience deploying ML at scale.
• Deep knowledge of transformers, neural networks, GLP.
• Python, PyTorch, TensorFlow; AWS (Azure/GCP fine).
• Product mindset and cross-functional collaboration skills.

Bonus Skills

• Visual Language Models (VLMs).
• Experience with schematics data: satellite, radiography, electrical/sewer maps.
• Embedded systems and data capture workflows.

Why Join?

Be part of an early-stage project with global economic impact. Shape core architectures, guide strategy, and scale systems that solve one of the world’s largest inefficiency problems.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Computer Vision Engineer – Multimodal AI Systems
Location: New York City or Remote (US-based)
Up to $300k base

Our client is a fast-scaling AI startup tackling complex real-world challenges with cutting-edge technology. They are building intelligent systems that combine computer vision, multimodal models, and generative AI to transform how industries operate. With strong venture backing and enterprise clients already onboard, this is a chance to join a high-growth environment where your work will directly impact mission-critical workflows.

We are seeking a Lead Computer Vision Engineer with a proven track record in both technical excellence and team leadership. This role is ideal for someone who can bridge hands-on engineering with mentoring and managing a team, helping to set technical direction while ensuring delivery of production-ready AI systems. You’ll play a pivotal role in building advanced vision pipelines (detection, segmentation, transformers, 3D vision) and integrating them with large language models (LLMs) and vision-language models (VLMs) into real-world multimodal systems.

Responsibilities:

• Lead and mentor a team of computer vision and ML engineers, fostering collaboration and growth

• Define and drive the technical roadmap for vision-related projects

• Architect and deliver computer vision solutions across detection, segmentation, classification, 3D perception, and multimodal workflows

• Oversee integration of CV models with LLMs/VLMs for reasoning and automation

• Collaborate with cross-functional teams to bring research to scalable production systems

• Stay up to date on cutting-edge research (transformers, diffusion, multimodal agents) and apply relevant innovations

Requirements:

• 6+ years of professional experience in computer vision, deep learning, or applied ML

• Minimum 2+ years in a management role with proven team or project leadership

• Hands-on expertise with frameworks such as PyTorch or TensorFlow

• Solid track record deploying production-ready CV systems at scale

• Experience with vision transformers, multimodal models (CLIP, BLIP, Flamingo, etc.), and generative AI

• Strong communication skills, able to work with both technical and non-technical stakeholders

• US-based (NYC preferred, remote possible)

Nice to Have:

• Background in robotics, industrial AI, or applied CV in real-world environments

• Contributions to open-source CV/AI projects or publications in top-tier conferences

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To Apply for this Job Click Here

Lead Computer Vision Engineer

REMOTE – US

$200,000 – $250,000 + Equity + Benefits

Are you passionate about building cutting-edge AI solutions that solve real-world challenges? A rapidly scaling Series A startup is looking for a Senior Computer Vision Engineer to join their elite engineering team and transform one of the world’s oldest and most foundational industries!

Backed by top-tier VCs and already working with Fortune 500 clients, this is a rare opportunity to join a technically ambitious and mission-driven company at a critical stage of growth. With a team of experts they’re combining advanced ML, computer vision, and multi-modal AI to automate some of the most complex and manual workflows in the construction world.

THE COMPANY

This AI startup is pioneering intelligent automation across the construction lifecycle-from blueprint analysis to jobsite monitoring leveraging computer vision to bring previously untapped data to life. With $30M in funding and a growing team of 50+ employees, including 20+ engineers, they’re launching a suite of AI agents that tackle challenges in:

• Image understanding
• Document intelligence
• Visual Q&A
• Multi-modal reasoning

They’re reimagining how visual and spatial data is used on-site and across operations, using AI to drive accuracy, speed, and cost efficiency.

THE ROLE

As a Senior Computer Vision Engineer, you’ll take ownership of designing, building, and deploying CV models that process and interpret a wide range of visual data.

You’ll be instrumental in shaping the company’s AI roadmap and embedding sophisticated visual understanding into production-ready tools used by field and office teams alike.

You will:

• Develop, train, and deploy CV models for object detection, image classification, segmentation, and more
• Design scalable ML pipelines to support model training, evaluation, and integration
• Work with proprietary datasets and define efficient labeling strategies to improve model performance
• Collaborate cross-functionally with ML, backend, and product teams to build user-centric solutions
• Apply state-of-the-art CV research, including visual transformers and multi-modal learning techniques, to production use cases
• Stay up to date with innovations in LLMs, RAG pipelines, and vision-language models, contributing where appropriate

YOUR SKILLS & EXPERIENCE

We’re looking for a CV engineer who brings both depth in technical knowledge and a builder’s mindset.

Must-haves:

• MS or PhD in Computer Science, Computer Vision, Robotics, or a related field
• 5+ years of experience building and deploying computer vision systems in production
• Proficiency in Python and frameworks such as PyTorch, TensorFlow, and OpenCV
• Deep understanding of image processing, feature extraction, and model evaluation techniques
• Hands-on experience with transformer-based CV models (e.g., ViT, DINO, SAM) and/or multi-modal architectures

Bonus skills:

• Exposure to LLM-based systems or Retrieval-Augmented Generation (RAG) pipelines
• Experience working with blueprints, schematics, or construction-specific datasets

BENEFITS & CULTURE

• Highly competitive salary ($200K-$250K) + meaningful equity package
• Fully remote flexibility across the US, with optional hybrid setups in NYC
• Comprehensive health benefits, medical, dental, vision (100% covered plan available)
• Unlimited PTO to support work-life balance
• Annual learning & development budget to fuel your growth
• Frequent team offsites, meetups, and daily in-office lunches (NYC)
• Work with an exceptionally talented and collaborative team solving challenging technical problems

READY TO APPLY?

If you’re excited about shaping the future of AI-driven automation in construction, we want to hear from you.

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