Research Scientist, Computer Vision
attentiveos· AI
About this role
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 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
- Model optimization: quantization, pruning, knowledge distillation
- 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
We are hiring Research Scientists across multiple levels, with opportunities for candidates ranging from approximately 2–8 years of relevant experience; level and compensation will be aligned with experience, research depth, and impact.
The base salary range for this role is $170,000 – $275,000, plus equity. The final offer depends on experience and level. We sponsor visas. If you need sponsorship now or in the future, please apply.
Frequently Asked Questions
What is the salary for the Research Scientist, Computer Vision role at attentiveos?
The listed salary for this Research Scientist, Computer Vision position at attentiveos is USD 170K–275K. This is an FULL TIME role.
Where is the Research Scientist, Computer Vision position at attentiveos located?
This Research Scientist, Computer Vision role at attentiveos is based in San Jose, CA, United States. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Research Scientist, Computer Vision role at attentiveos full-time or part-time?
This is listed as a FULL TIME position. It is posted as a Research Scientist, Computer Vision role in the AI department at attentiveos.
Which team or department does the Research Scientist, Computer Vision at attentiveos belong to?
This Research Scientist, Computer Vision position is part of the AI department at attentiveos. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Research Scientist, Computer Vision position at attentiveos?
Click the "Apply Now" button on this page. You will be redirected to attentiveos's official application portal hosted on keka where you can submit your application directly.
When was the Research Scientist, Computer Vision job at attentiveos posted?
This Research Scientist, Computer Vision position at attentiveos was posted on Aug 31, 2026. Apply as soon as possible — early applications are often reviewed first.
Research Scientist, Computer Vision
attentiveos · 💰 USD 170K–275K
You'll be redirected to attentiveos's official application page on keka.