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Join our team
Data Science
R&D
About Pelles.ai
Pelles.ai is an early-stage construction tech start-up at the forefront of technological innovation in the MEP pre-construction phase. Leveraging the power of generative AI, we deliver tailored solutions to the unique needs of MEP subcontractors.
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 three 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.
Preferred Skills
- 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.
To apply send your CV to career@pelles.ai