---
title: 'AI Research Scientist -Computer Vision at Meltplan'
canonical: 'https://feeny.ai/job/ai-research-scientist-computer-vision-meltplan-bengaluru-tx19wv60mgyz'
type: 'job'
last_seen: '2026-10-14'
---

# AI Research Scientist -Computer Vision at Meltplan

- **Company:** Meltplan
- **Location:** Bengaluru, India
- **Posted:** 2026-05-13
- **Last confirmed live:** 2026-10-14
- **Apply:** https://job-boards.greenhouse.io/meltplan/jobs/4245005009

## Job description

MeltPlan | Planning Engine for the Built Environment

MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders.

MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn healthtech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution.

What This Role Really Is

We are looking for an AI Research Scientist – Computer Vision to enhance and manage the PlanGraph model, which transforms 2D drawings into structured graphical representations of building elements. The role involves solving downstream business use cases such as quantity takeoff, code compliance, value engineering, and constructability analysis.We are specifically looking for hands-on researchers with experience in solving real-world Computer Vision problems and building custom vision models, VLMs, or VLLMs for production-grade applications.

## What You’ll Do

- Build and optimize custom Computer Vision models, VLMs, and VLLMs for construction intelligence workflows.
- Solve downstream business use cases including quantity takeoff, code compliance, value engineering, and constructability analysis.
- Conduct applied research in Computer Vision, multimodal AI, document understanding, and spatial reasoning.
- Design, train, fine-tune, and evaluate production-grade AI models using large-scale datasets.
- Improve model accuracy, robustness, inference performance, and scalability for real-world deployment.
- Collaborate closely with engineering and product teams to convert research into deployable AI systems.
- Develop benchmarking, evaluation, and validation frameworks for model performance measurement.
- Stay updated with state-of-the-art research in Computer Vision, Vision Transformers, multimodal AI, and Generative AI.
- Contribute to research documentation, patents, publications, and internal technical knowledge sharing.
- Work on real-world construction datasets, drawings, and complex edge-case problem solving.
- Drive innovation in AI systems that improve planning, decision-making, and operational efficiency in construction workflows.

## What We’re Looking For

- Strong foundation in Computer Vision, Deep Learning, and Machine Learning.
- Hands-on experience building and training custom Computer Vision models.
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, and OpenCV.
- Experience working with image processing, object detection, segmentation, OCR, or multimodal AI systems.
- Understanding of Vision Language Models (VLMs), Vision Transformers (ViTs), or Generative AI concepts.
- Ability to train, fine-tune, and optimize AI models for production environments.
- Strong analytical, research, and problem-solving skills.
- Experience reading and implementing research papers into practical applications.
- Bachelor’s, Master’s, or PhD in Computer Science, AI, Machine Learning, or a related field.

Bonus if you’ve:

- Built multi-step agent systems
- Prior experience in applied AI research within startup or product-focused environments.
- Exposure to MLOps, model deployment, and production AI systems.
- Worked in messy real-world data environments

We’re not looking for someone who waits for clean requirements.We’re looking for someone who thrives in the mess and turns it into systems.

## Why meltplan

- Massive industry, real-world impact
- High ownership from day one
- Small team, zero bureaucracy
- Competitive comp + meaningful equity

## About Meltplan

## Company Overview
- **One-liner**: MeltPlan is the AI-native planning engine for construction, automating building code compliance, quantity takeoffs, and bid leveling during preconstruction.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Berkeley, California, United States
- **Founded**: 2025
- **Founders**: Kanav Hasija (Co-Founder & CEO) and Tanmaya Kala (Co-Founder & COO); founding team also includes Prithivi Da (CTO), Frazin Salim (Design), and Lovekush Gangwar (Marketing/Tech)

## Core Business
- **Primary industry**: Construction technology / Preconstruction software
- **Target customers**: Architects, engineers, general contractors, specialty contractors, and building inspectors (B2B, SMB to enterprise)
- **Mission / Purpose**: “Building the intelligence layer for construction” – moving critical preconstruction decisions upstream where changes are still cheap.

## Products & Services
- **Melt Code** – AI-powered building code research tool that delivers project-specific compliance requirements with step-by-step reasoning and direct code citations. (SaaS)
- **Melt Takeoff** – AI-assisted quantity takeoff service combining vision AI with onshore estimator verification for accurate, fast takeoffs including scope not shown. (Service + SaaS)
- **Melt Bid** – AI bid leveling tool for general contractors to level subcontractor bids in minutes, catch missing scope, and make confident award decisions. (SaaS)

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding of **$17.4M** (per LinkedIn) or **$14M** (per Tracxn – conflicting reports) in a single Seed round.
- **Notable Investors / Partners**: Led by **Bessemer Venture Partners**; other investors include WND Ventures and additional angels.
- **Growth Signals**:
  - 21 employees (LinkedIn) / 30 employees as of May 31, 2026 (Tracxn – conflicting) with monthly headcount growth of +3.7%.
  - LinkedIn followers: 3,211 (+3.8% monthly).
  - Monthly website visits: ~6,834 with +1.8% traffic growth.
  - Used by “hundreds” of architecture, engineering, inspection, and contractor companies.
  - Offices in Berkeley (HQ), India, Thailand, and Italy.

## Competitive Advantages
- **Construction‑native AI**: Trained specifically on construction data and language, unlike generic AI tools.
- **Upstream focus**: Optimizes decisions during preconstruction (planning, code, takeoffs, bidding) – the phase with highest cost impact.
- **Transparency**: All AI outputs show step‑by‑step reasoning and direct source citations, building trust with AEC professionals.
- **Integrated platform**: Combines code research, takeoffs, and bid leveling in one workflow, reducing tool switching.

## Strategic Focus
- **Preconstruction automation**: Continue expanding AI capabilities to automate the most time‑intensive preconstruction tasks.
- **Scale go‑to‑market**: Grow customer base across contractors, architects, and inspectors; deepen integration with existing construction ecosystems.
- **Talent acquisition**: Hiring across engineering (Python, SQL, GraphQL, Java), sales, and design to accelerate product development.

## Why Work Here
- **Mission‑driven**: Solve real productivity problems in a $13 trillion global industry ripe for transformation.
- **Fast‑growth startup**: Seed stage with strong funding and rapid headcount growth; early employees have high impact.
- **Engineering culture**: AI‑first, construction‑knowledgeable team; modern tech stack (GraphQL, Python, Figma, etc.).
- **Remote flexibility**: Presence across US, India, Thailand, and Italy – likely distributed team with Berkeley as HQ.
- **Perks**: Not detailed, but typical startup perks (equity, flexible PTO) can be expected.
- **Transparent processes**: Uses Greenhouse for applications; careers page emphasizes solving “construction’s planning problem.”

## Sources
1. [meltplan.com](https://www.meltplan.com/)
2. [meltplan.com/about](https://www.meltplan.com/about)
3. [meltplan.com/careers](https://www.meltplan.com/careers)
4. [linkedin.com/company/meltplan](https://www.linkedin.com/company/meltplan)
5. [tracxn.com/d/companies/meltplan](https://tracxn.com/d/companies/meltplan/__Ra0GkebRT1mA049iZwfrregBeZc4snLh88Weiej1joM)

## Other roles at Meltplan

- [Estimator – US Construction (Remote)](https://feeny.ai/job/estimator-us-construction-remote-meltplan-india-qagyx0f1r12j) — India
- [UI Engineering Lead](https://feeny.ai/job/ui-engineering-lead-meltplan-bengaluru-ddj14ccr9qpp) — Bengaluru, India
- [Senior Full Stack Engineer – Frontend Focused](https://feeny.ai/job/senior-full-stack-engineer-frontend-focused-meltplan-bengaluru-c4cbnj1yjd9q) — Bengaluru, India