Attentive.ai

Research Intern, Computer Vision

Posted 2 Days Ago

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San Jose, CA, USA

In-Office

80-90 Annually

Internship

Artificial Intelligence • Software • Business Intelligence • Agriculture • Automation

The Role

Conduct applied computer vision and deep learning research for automated construction drawing takeoff and estimation. Own a scoped research problem, train and evaluate models for detection, segmentation, or structured extraction, explore self-supervised learning and multimodal signals, develop prototypes using real data, design evaluations, and present findings to the research team.

Summary Generated by Built In

About Attentive.ai:

Attentive.ai builds AI for construction and field services. Our takeoff and estimating platform, Beam AI, is used by 1,200+ contractors across the US and Canada and has completed over 500,000 takeoffs. Attentive.ai is transforming the field services and construction industries with our flagship AI solution - Beam AI. Our platform empowers businesses to double their bidding capacity and accelerate growth through automation and intelligent insights. More than 1k+ businesses across the U.S. and Canada already use our products to boost sales velocity and streamline operations. We have raised $30.5M in Series B funding, accelerating our mission to make advanced AI tools accessible, practical, and impactful in the real world. We are proudly Backed by Insight Partners, Peak XV (Surge), InfoEdge, Tenacity and Vertex Ventures.

About the Role:

As a Research Intern, you'll work on the computer vision and deep learning that power automated takeoff and estimation. The core problem is unsolved: a plan set is hundreds of pages drafted to dozens of CAD conventions, where the same primitive is a wall, a hatch pattern, or a leader line depending on context a model has to infer.

You'll own one scoped research problem end to end, paired with a senior researcher — framing it, running the experiments, and building a prototype evaluated on real data. It won't be a side project; it'll be something on the team's roadmap.

What You'll Do:

Own one research problem end to end: framing, data, experiments, and a prototype that runs on real drawings
Train and evaluate deep learning models for object detection, segmentation, or structured extraction on vector and raster construction drawings
Explore self-supervised and representation learning on our corpus of unlabeled drawings
Work with multimodal signals, combining visual layout, geometry, and text
Design the evaluation for your problem, and present results to the research team

What We're Looking For:

Currently pursuing a Master's, or PhD in Computer Science, AI/ML, Data Science, Mathematics, Electrical Engineering, or a related field
Strong foundations in Python and at least one deep learning framework (PyTorch or TensorFlow)
Coursework or project experience in computer vision, image processing, or machine learning
Curiosity about applied research and a willingness to iterate quickly on ideas
Comfortable working in a fast-paced, startup-like environment with close collaboration
Clear written and verbal communication skills

Nice to have:

Prior research experience, publications, or projects in computer vision or deep learning
Familiarity with vector graphics and CAD formats (SVG, DXF, DWG, IFC)
LLM and NLP experience like structured extraction, retrieval over long documents
Experience with cloud environments (GCP, AWS, or Azure)

How We Work:

Empirical over theoretical — we'd rather run the experiment than argue about it
Truth-seeking, including about our own results. A negative result reported early is worth more than a positive one defended late
Research is judged by whether it holds up in front of 1,200 contractors, not by whether it's clever
Honest feedback, given directly

Compensation:

The stipend range for this role is 80-90$ per hour. The final offer depends on experience and level.

Skills Required

Currently pursuing a Master's or PhD in Computer Science, AI/ML, Data Science, Mathematics, Electrical Engineering, or a related field
Strong foundations in Python
Experience with at least one deep learning framework, such as PyTorch or TensorFlow
Coursework or project experience in computer vision, image processing, or machine learning
Curiosity about applied research and willingness to iterate quickly on ideas
Comfort working in a fast-paced, startup-like environment with close collaboration
Clear written and verbal communication skills
Prior research experience, publications, or projects in computer vision or deep learning
Familiarity with vector graphics and CAD formats, including SVG, DXF, DWG, or IFC
LLM and NLP experience, including structured extraction or retrieval over long documents
Experience with cloud environments such as GCP, AWS, or Azure

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The Company

New Delhi

300 Employees

Year Founded: 2017

What We Do

Attentive.ai is the #1 landscape management software provider with end-to-end automation for all field services businesses across the landscaping, asphalt and paving, facilities maintenance, and snow removal industry. Our software- powered by cutting-edge Artificial Intelligence (AI), is designed to optimize your workflows and help you scale effortlessly. Our property measurement software, Automeasure, caters to landscaping maintenance and construction, paving maintenance and construction, facilities maintenance, and snow removal businesses. Automate your takeoffs on up-to-date aerial imagery and blueprints, helping sales teams save time, bid more, and win more. Our landscape management software, Accelerate, arms you with a truly end-to-end solution for all commercial landscape maintenance and construction jobs through automated workflows. Over 500 businesses across the field services industry—landscaping, snow management, paving maintenance, construction, and facilities maintenance industries in the US and Canada trust Attentive.ai to drive their revenue. This includes the most successful sales teams, like those at U.S. Lawns, Juniper Landscaping, Maldonado Nursery & Landscaping, United Land Services, Elements Mountain Company, Beary Landscaping, Paved Assets, East Coast Facilities, BrightView, Case Snow, and LandCare. Backed by marquee investors, including Sequoia Surge and InfoEdge Ventures, we are building to solve the biggest challenges facing the outdoor services businesses.