Research Scientist, Computer Vision

Attentive.ai; San Francisco (CA); On-site; USD 200,000 - 275,000; Full time

Benefits offered by this job

Equity

Visa sponsorship

Job summary

Attentive.ai builds AI for construction and field services. As a Research Scientist, you'll advance computer vision, deep learning, and NLP powering automated takeoff and estimation.

You'll be an early member of the US research team with real influence over directions and ownership of research problems end to end, taking models to production. You will tackle object detection, segmentation, and multimodal extraction on construction drawings, design robust evaluation frameworks, and stay

Qualifications

• 2–8 years of applied ML/AI research with a focus on CV and DL.
• Deep expertise in object detection, segmentation, OCR, and layout analysis.
• Experience training and deploying neural networks at scale with a production model.
• Strong Python and PyTorch skills across modeling, training, and data pipelines.
• Practical GPU and distributed training experience.
• Ability to evaluate current research and apply it to real problems.

Responsibilities

• Own research problems end to end: framing, data, experiments, ablations, and the shipped model.
• Advance deep learning models for object detection, segmentation, and structured extraction on drawings.
• Build multimodal systems combining visual layout, geometry, and text.
• Design evaluation frameworks to continuously improve the model.
• Stay current with CV and ML research and apply it to construction problems.

Skills

Computer vision

Deep learning

Python

PyTorch

Multimodal / vision-language

OCR / layout analysis

Education

Master's or PhD in CS or related field

Tools

SVG CAD familiarity

Cloud platforms (GCP/AWS/Azure)

Job description

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 Scientist, you'll advance computer vision, deep learning, and NLP 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'd be an early member of the US research team, which means real influence over the directions we pursue. You'll own research problems end to end and take models to production.

What You'll Do

• Own research problems end to end: framing, data, experiments, ablations, and the model that ships
• Advance deep learning models for object detection, semantic segmentation, and structured extraction on vector and raster construction drawings
• Build multimodal systems combining visual layout, geometry, and text
• Design evaluation frameworks to continuously improve the model
• Stay current with computer vision and ML research and evaluate what's relevant to construction-industry problems

What We're Looking For

• 2–8 years of applied machine learning or AI research experience with a strong focus on computer vision and deep learning . We'll calibrate level and compensation to what you've built
• Depth in at least one of: object detection, image segmentation, image processing, OCR and layout analysis, self-supervised or representation learning, or multimodal / vision-language models
• Experience training and evaluating neural networks at scale, and at least one model you've taken to production
• Strong Python and PyTorch , across the modeling, training loop and the data pipeline
• Practical GPU and distributed training experience
• Judgment about data: what to label, what to synthesize, what to discard
• The ability to read current research critically and say what's worth trying

Nice to have:

• Master's or PhD in Computer Science, Machine Learning, Electrical Engineering, Mathematics, or a related field
• Familiarity with vector graphics and CAD formats (SVG, DXF, DWG, IFC)
• LLM and NLP experience like structured extraction, retrieval over long documents
• Publications or open-source contributions in computer vision or deep learning
• 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 and Sponsorship

The base salary range for this role is $200,000 – $275,000 , plus equity. The final offer depends on experience and level. We sponsor visas.