Software Engineer, Machine Learning

Construction is a multi-trillion-dollar industry used by every human across the planet. It needs your help: we need to invent new software systems so construction becomes as efficient, quick, automated and green as possible. The team at Benetics (60+ years of engineering experience, 2 founding engineers from Google, and a CEO with a successful exit in tech.) is laser-focused on a vision of understanding each building’s DNA: How are people on-site communicating? How was the building constructed compared to what the plan said? How can we automate planning, implementation, logistics, and maintenance into a seamless process flow?

Join the fastest-moving company in this space.

• Build reliable, performant, and scalable software solutions.


• Follow data-driven experimentation to iterate on features.


• Bring machine learning models for construction process flows.


• Work closely and collaborate with engineers, product managers, designers, and other team members.


• Share expertise, hold tech talks, contribute to design meetings, and enrich our engineering culture.

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• Tackle greenfield algorithmic, scaling, and performance challenges.


• Code using primarily TypeScript and Python

• [required] 2+ years of software engineering experience


• [required] Master’s or bachelor’s degree (or equivalent) in computer science, mathematics, or related fields (ETH Zurich or equivalent)


• Your A-Game: top-notch software engineering, a curious mind looking to learn constantly, and an empathic style that wants to teach others.

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• Experienced and powerful team; a start-up without the chaos.


• Quick pacing while paying attention to all the details: we build a delightful, bullet-proof product.


• Performance-driven compensation, including equity.


• A place to learn and develop yourself.


• A once-in-a-generation chance to reshape an industry of crucial importance for humanity and the planet.


• We are hiring the best people around the world and offer visa sponsorship.