Design and deploy advanced AI/ML and 3D vision algorithms generated by our modelling team for large-scale datasets for practical, user focused product development including point clouds, meshes, sensor data and Gaussian splatting
Lead and mentor a team of 5 engineers, providing technical direction and project coordination in computer vision and AI/3D data modeling projects, providing coaching and guidance.
Conduct research on emerging AI techniques for 3D understanding and integrate findings into production.
Implement ML Ops practices for scalable, automated training and inference pipelines.
Ensure quality through rigorous evaluation, optimization, and code reviews.
Define the AI strategy and contribute to product roadmap decisions.
Requirements
deep learning
computer vision
3d geometry
pytorch
cuda
phd
Expertise in deep learning, computer vision, 3D geometry, and multimodal AI, including experience with large language models.
Fluent in English.
Strong programming skills in Python and/or C++ with ML frameworks (PyTorch, TensorFlow), GPU programming (CUDA).
5+ years of experience in AI/3D vision development including industry experience of deploying AI and working with 3D data, including ML ops and practical, user-focused product development.
Proven experience at least 5+ years leading and mentoring technical teams.
Excellent communication and leadership skills.
PhD or equivalent in Computer Vision, AI, or Machine Learning.
Benefits
An attractive salary and benefits package.
Training + Development
Information not given or found
Interview process
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Visa Sponsorship
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Security clearance
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Company
Overview
Founded 1984
Year of Origin
The company was established in 1984, marking the beginning of its journey in providing advanced software solutions for infrastructure.
Their tools empower engineers, architects, and builders to design, construct, and maintain critical infrastructure worldwide.
Specialized in industries like water, transportation, energy, and utilities, they offer solutions that span the entire lifecycle of infrastructure projects.
Bentley’s technology powers projects ranging from bridges and tunnels to railways, roads, and water treatment facilities.
Notably, Bentley’s acquisition of numerous firms has expanded their capabilities in digital engineering, cloud computing, and AI-powered design.
The company’s software is used by both private enterprises and public entities to manage complex, large-scale infrastructure initiatives.
Their flagship product, MicroStation, has become a go-to for 2D and 3D computer-aided design (CAD) modeling.
Bentley’s growth and success are driven by its commitment to innovation, sustainability, and customer satisfaction, positioning them as a leader in the infrastructure sector.
Culture + Values
Customer-centric innovation
Commitment to quality and excellence
Collaborative and empowering work environment
Integrity in all interactions
Passion for innovation and technology
Focus on delivering sustainable outcomes
Environment + Sustainability
Target 2050
Net Zero Carbon Goal
The company aims to achieve net zero carbon emissions by the year 2050 through comprehensive strategies and innovations.
Encourage adoption of sustainable infrastructure practices through digital solutions
Use of digital twins to optimize energy efficiency and reduce carbon footprint
Reduce environmental impact through smart construction and design technologies
Support for clients in meeting their sustainability goals
Inclusion & Diversity
Gender balance in leadership roles and throughout the company
Strong commitment to building a diverse and inclusive workforce
Diverse talent pool with ongoing initiatives to increase representation across all levels
Ongoing efforts to improve employee engagement through inclusive practices