Applied ML Engineer

Following selection criteria will be strictly followed -

• Graduated in 2019 or before
• 5+ YOE in the industry, excluding any career breaks
• Should be able to join in 30 days once the offer letter is released
• Candidate should relocate to Noida 

SiteRecon is a B2B SaaS platform transforming property measurements for landscapers and snow removal contractors in the $176B US market. Using advanced AI on high-resolution aerial imagery, we’ve reduced measurement time from 1 week to 1 day, aiming for 1 hour with upcoming AI advancements.

Role Overview

We seek a skilled Applied ML Engineer to evaluate, enhance and/or transform our computer vision infrastructure from traditional CNN architectures to cutting-edge transformer-based models. This role demands expertise in model design, training, and optimization.

You’ll have access to:

• A vast aerial imagery database (7 cm GSD) of 500,000+ properties across the U.S. since 2021.
• A team of 60 annotators mapping thousands of acres daily.
• A ready market of 350+ customers for immediate deployment.
• Powerful compute resources for rapid model training.

This is a frontier challenge in computer vision and GIS. While solutions like Meta’s SAM offer basic raster segmentation, they lack the precision for creating high-fidelity, topologically consistent vectors essential for practical GIS applications. SAM struggles with occlusions (e.g., shadows, tree canopies) and produces "blobs" rather than architect-quality outputs.

Our approach focuses on solving a constrained problem: using the world’s highest-resolution aerial imagery (7 cm) over U.S. urban areas with logical, repeatable patterns. By tackling this focused challenge, we aim to develop scalable templates to generalize automated extraction for broader GIS applications, similar to Waymo’s strategy in self-driving technology.

Critical Skills We Value Most:

• Data Engineering Expertise

  : You've cleaned, augmented, and prepared messy real-world datasets

• Architecture Innovation

  : Experience with transformers, attention mechanisms, or novel segmentation approaches

• Production Mindset

  : You understand inference speed, memory constraints, and deployment realities

• Iteration Speed

  : Ability to rapidly prototype, test, and deploy model improvements

• Internal Adoption & Change Management

  : You've successfully deployed ML solutions that teams actually use in production workflows. You understand that technical excellence means nothing without user adoption - you'll work directly with our cartography team to ensure model outputs integrate seamlessly into daily operations and drive measurable productivity gains.

What You Won't Be Doing:

• Using pre-trained APIs or off-the-shelf solutions
• Prompt engineering or LLM fine-tuning
• Research without clear business impact

Why does this role matter?

Every day without improved segmentation costs us real business opportunities. We need someone who moves fast, thinks systematically, and delivers production-ready improvements quickly.

A little bit about us -

We are helping property maintenance contractors in the US to automate property mapping and site visits through our mapping platform - https://order.siterecon.ai/

Join us to push the boundaries of machine vision in a high-impact domain.

Hiring Manager - https://www.linkedin.com/in/innovationchef/

• Drop a note to ankit@siterecon.ai if you want to discuss more about what you would be doing!