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Software Engineer, Machine Learning

benetics ai • Switzerland
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Benetics AI seeks a Software Engineer to build scalable software solutions for the construction industry, integrating machine learning models into process flows. The role requires strong software engineering skills, collaboration, and a drive for innovation. Key requirements include 2+ years of experience and a Master's or Bachelor's degree in a relevant field.

Key Highlights
Invent new software systems for construction efficiency, automation, and sustainability.
Integrate machine learning models for construction process flows.
Collaborate with cross-functional teams and contribute to engineering culture.
Key Responsibilities
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.
Tackle greenfield algorithmic, scaling, and performance challenges.
Technical Skills Required
TypeScript Python Machine Learning
Benefits & Perks
Performance-driven compensation, including equity
A place to learn and develop yourself
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Job Description

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.

Tasks
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