The job, in the employer's words
Your mission
Join our ranking team and build the intelligent systems at the core of Cosuno's platform.
Ranking & Recommendation: Own and improve the systems that match the right subcontractors to the right tenders.
AI for Construction: Take new models and AI capabilities from idea to production — design, train, evaluate, deploy, iterate — and own them end to end.
Price Prediction: Improve the models that help users evaluate bids and make better procurement decisions, trained on millions of price data points.
Experimentation & Evaluation: Design offline evals, run online A/B tests, and drive metrics-led iteration.
AI Agent Development: Build and improve our agentic system that orchestrates multi-step reasoning to navigate the complex, often messy tendering workflow.
Ship into the product: Take your work all the way to real users — model, backend service, API, and the integration into our TypeScript web app.
Own the problem: Work directly with Product and Data to decide what to build, then build it.
Maintain production ML & AI: Monitoring, alerting, and continuous improvement of everything we deploy.
Your profile
Ranking & recommendation experience: You've built, evaluated, and improved ranking or recommendation models (learning to rank, reranking, recommender systems), ideally in production with measurable product impact.
End-to-end ownership: You've personally taken features from the product problem through data, modelling, and the production service to real users.
Product judgment: You understand the business problem, make pragmatic decisions quickly, and know when something is good enough to ship.
Strong ML & deep learning background: You have 5+ years building, training, and shipping machine learning models — classical ML and deep learning — in production. You're fluent in a modern deep learning framework, ideally PyTorch.
Strong Python: You have 5+ years writing production-grade Python. You write clean, well-structured code.
Experimentation rigor: You know how to evaluate models properly — offline metrics, online A/B tests — and let the data decide.
Opinionated and pragmatic: You look at a complex system, quickly identify what matters, and make the call. When you're unsure, you find out with data.
We're open on level. If you're at staff level or above, we'd love to hear from you.
Bonus
Hands-on experience building and deploying LLM or agent systems — RAG, tool use, evals
TypeScript, React, or Node experience to help integrate your work into our web app
Experience building search systems or pricing models
Experience with embedding models, fine-tuning, or model training at scale
Domain exposure to construction, procurement, or marketplaces
Why us
Shape a product that solves real-life problems in the construction industry
Work in an open-minded, collaborative, dynamic, and international team
Fully remote team and work culture
Freedom in your working hours. It's the results that count.
Company off-sites and regular team events (offline and online)
Flexible working conditions with the possibility to do workations
Competitive compensation, a permanent contract, and modern work equipment
Open feedback culture with regular 1-on-1s
About us
Cosuno – Revolutionizing construction through technology.
We are Cosuno – a fast-growing tech startup that is making the construction industry more efficient and transparent with our digital platform for tenders and procurement processes. Our goal: to solve the most complex challenges in the industry with innovation and simplicity.
Requirements mentioned
- Ranking & recommendation experience: You've built, evaluated, and improved ranking or recommendation models (learning to rank, reranking, recommender systems), ideally in production with measurable product impact.
- End-to-end ownership: You've personally taken features from the product problem through data, modelling, and the production service to real users.
- Product judgment: You understand the business problem, make pragmatic decisions quickly, and know when something is good enough to ship.
- Strong ML & deep learning background: You have 5+ years building, training, and shipping machine learning models — classical ML and deep learning — in production. You're fluent in a modern deep learning framework, ideally PyTorch.
- Strong Python: You have 5+ years writing production-grade Python. You write clean, well-structured code.
- Experimentation rigor: You know how to evaluate models properly — offline metrics, online A/B tests — and let the data decide.
- Opinionated and pragmatic: You look at a complex system, quickly identify what matters, and make the call. When you're unsure, you find out with data.
- We're open on level. If you're at staff level or above, we'd love to hear from you.
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