Data Scientist

About Pelles.ai

Pelles is an early-stage construction tech startup building the leading AI platform for subcontractors. By transforming complex construction documents into actionable insights, Pelles.ai streamlines workflows, enhances collaboration, and automates the creation of deliverables tailored to industry needs. Our tools help subcontractors win more bids, save time, and achieve greater efficiency on every project

We’re looking for passionate problem-solvers with a can-do attitude to join us as one of the first members of our founding team. As an early team member, you’ll play a pivotal role in building our product and tech stack from the ground up, while also helping shape the culture and direction of the company.

What you'll do:

• Invent and prototype cutting-edge NLP, vision, and fusion methods that enable our systems to understand and act on complex documents, technical drawings, and 3D models
• Design agentic workflows - orchestrate and evluate multi‑agent systems for multimodal data

• Full‑Stack Data Science - take models from whiteboard to production: own the full lifecycle-data pipelines, training, evaluation, deployment, and monitoring
• Collaborate - work closely with all the founding team members to define requirements and transform ideas into functional software solutions for the construction industry
• Stay up-to-date on the latest technologies and trends

Requirements:

• MSc/PhD in CS, EE, Statistics, or a related field-or equivalent deep industry experience.
• At least 3 years of building and deploying machine‑learning or deep‑learning models
• Hands‑on familiarity with transformers, diffusion, or other state‑of‑the‑art generative models.
• Solid software‑engineering practices: Git, CI/CD, containerization, testing, and code reviews.
• A knack for turning ambiguous problems into shipped product features with measurable impact.

Bonus points for:

• Exposure to construction‑tech or AEC data (BIM, Revit, IFC, etc.).
• Experience with retrieval‑augmented generation, vector search, agentic architectures, or large‑scale RAG architectures
• Contributions to open‑source ML frameworks or peer‑reviewed publications.
• Startup mindset - comfortable with ambiguity, tight loops, and wearing multiple hats.

What we offer:

• Opportunity to shape a product used by real construction professionals today
• Be part of the R&D team in a fast-paced startup environment
• Flexible hybrid work arrangement

To apply send your CV to career@pelles.ai