Job VC

🟠 Details: we are looking for a Senior Computer Vision/Machine Learning Engineer to lead the design and development of an AI-powered system for extracting structured spatial data from complex floor plan imagery.

The main goal is to build a production-oriented prototype capable of processing
2D and 3D apartment floor plan images
, extracting simplified 2D layouts, detecting rooms and interior spaces, estimating room areas, and generating structured outputs for flooring takeoff calculations.

This is a highly practical, R&D-driven role focused on solving real-world computer vision challenges such as perspective distortion, furniture occlusion, unclear room boundaries, scale estimation, and validation against noisy or inconsistent reference data.

The position can be either full-time or part-time, depending on the candidate’s level of expertise and relevant hands-on experience with similar CV/ML workflows.

🟠 Qualifications:
4+ years of hands-on experience in Computer Vision/Machine Learning.
Strong practical experience with image segmentation, object detection, image preprocessing, and geometry-based computer vision.
Experience with
OpenCV
and classical computer vision techniques.
Experience with modern segmentation and detection architectures such as YOLO, U-Net, SegFormer, Detectron2, SAM, or similar.
Strong Python engineering skills.
Experience with polygon/vector processing tools such as
Shapely
, OpenCV contours, or similar geometry libraries.
Ability to work with imperfect visual inputs and design robust fallback logic.
Understanding of OCR-based extraction using tools such as Tesseract, PaddleOCR, docTR, or cloud OCR services.
Ability to design end-to-end CV pipelines from experimentation to reproducible prototypes.

🟠 Would be a plus:
Experience with floor plan recognition, architectural drawings, construction tech, real estate tech, or takeoff/estimation workflows.
Experience with perspective correction, homography, depth estimation, vanishing lines, or top-down reconstruction.
Experience with depth models such as MiDaS or Depth Anything.
Experience with synthetic data generation or image-to-image normalization workflows.
Experience building ML evaluation and observability pipelines.
Experience integrating ML pipelines into backend services or APIs.
Experience leading technical direction for R&D-heavy projects.

🟠 Responsibilities:
Design and implement a
render-to-plan pipeline
for converting 3D floor plan renderings into simplified 2D measurement-ready layouts.
Develop CV/ML approaches for room segmentation, boundary detection, polygon extraction, room classification, and space labeling.
Work with complex visual inputs including top-down plans, oblique renders, dollhouse-style layouts, and low-quality marketing imagery.
Estimate room-level areas using geometry, OCR, scale evidence, metadata, and heuristic-based validation approaches.
Define evaluation logic, confidence scoring, and quality metrics for pipeline outputs.
Produce structured outputs and visual QA overlays for downstream flooring takeoff workflows.
Collaborate with AI/backend engineers to integrate the CV pipeline into a web-based PoC tool.
Document technical assumptions, limitations, risks, tradeoffs, and fallback strategies.

🟠 Interview steps:
Screening with the recruiter (about 45 minutes).
Technical interview with ML/CV Engineer and PM (about 1 hour).
Optional take-home task.

🟠 By joining us, you get:
Real ML/CV work in production — actual pipelines with measurable outcomes for the client.
Ownership from day one: architectural decisions, direct client communication, no three-level approval chains.
Open salary ranges in job postings — no “to be discussed at interview”.
Remote-first with genuinely configured async processes
Flexible schedule, no time tracking.
15 days paid vacation / 5 days paid sick leave.
4 paid public holidays (New Year, Christmas, Independence Day, Defenders Day).
$50/month — 50% reimbursement for sport, massage, therapy, or learning.
Certification reimbursement and 50% coverage of professional courses.
Quality work equipment (laptop + accessories).
Accounting and legal team support.
AI Talks and tech talks — an internal culture of knowledge sharing.

🟠 Our office in Lviv (Kulparkivska 200a, NatCoworking):
PlayStation consoles, table tennis, and foosball, open terraces.
Fridge stocked with drinks.
A variety of meeting rooms.