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AI VISION ENGINEER

  • Hybrid
    • Toronto, Ontario, Canada
  • Xaba

Job description

About Xaba

Xaba is at the forefront of AI-driven robotics automation, pioneering cutting-edge solutions to enhance industrial processes. Headquartered globally, with a team of collaborative scientists, engineers, and designers, Xaba operates in a remote-first and distributed environment. Join us to revolutionize the future of AI applied to robotics.

The Role

We are seeking an AI Vision Engineer to contribute to our innovative products. As a key member of the Xaba team, you will play a pivotal role in advancing AI-driven robotics automation, while closely collaborating with the leadership team.

What you will do:

  • Collaborate with Xaba’s cross-functional team of engineers to build AI models leveraging state-of-the-art DNN, CNN and GNN models to augment robotics cognition, awareness and facilitate program generation

  • Conducting applied research in Robotics Welding, Inspection, Machining, and Assembling to gather data. This supports the development, training, auditing, and validation of physics-based AI models for robotics fabrication processes.

  • Training and Support:

  • Provide training and support for deploying AI models in real-world robotic applications.

  • Work closely with customers to understand their needs and ensure successful AI integration.

Requirements

  • Collaboration and Communication:

    • Collaborate with sales and marketing teams to communicate the value of AI-driven robotics solutions to clients.

    • Participate in technical workshops and contribute to conferences showcasing AI applications in robotics.

    • Strong communication skills for presenting AI solutions to both technical and non-technical audiences.

  • Product Development Support:

    • Collaborate with the product development team to assess features and identify areas for improvement.

    • Contribute to the creation of technical documentation and training materials.

  • Quality Assessment and Bug Reporting:

    • Perform quality assessments of AI-driven robotics solutions.

    • Identify, prioritize, and report bugs to the development team.

  • Technical Proficiency:

    • 3+ years of working experience in Computer Vision related areas.

    • Proven experience of 3D and 2D data analysis process: gathering, cleaning, processing and labeling.

    • Demonstrated competence in setting up vision devices from both hardware (installation, configuration and calibration) and software (integration) perspectives.

    • Python programming language and core AI (Tensorflow/Pytorch, Scikit-Learn) and CV (Open3D/PCL, OpenCV, Scikit-Image) modules.

    • Familiarity with reading, understanding and implementing research papers.

  • Continuous Learning:

    • A commitment to continuous improvement and staying updated on advancements in AI and robotics.

Nice to have

These are the things you’re likely to work on, so if you have any experience in the following, great! If you don’t have experience in the following, we still encourage you to apply.

  • C++ programming language knowledge.

  • Knowledge of optics and/or photography.

  • Basic knowledge of robotics core aspects: forward and inverse kinematics.

  • Engineering background and familiarity with AI applications in industrial settings.

Education and Experience

  • Relevant experience in AI applied to robotics or related fields.

  • Background in robotics, AI, or a related technical field.

Our Team and Perks

  • We are an open, collaborative, and supportive culture including skill shares and design critiques

  • We believe that employees should be owners, which is why we provide stock option grants for full-time employees

  • We believe in supporting the health and wellbeing of our team, which is why we offer a competitive health benefits package

  • As a remote-first team, we believe in the importance of having the right set up, which is why we offer a home office budget

  • Learning and development is critical to us, which is why we have a self-directed learning budget

  • Stock option grants for full-time employees, promoting a sense of ownership.

  • Competitive health benefits package.

Our location

It would be better to live in areas near Milan - ITALY or near Toronto - CANADA, where our offices are located.


Our Hiring Process

  • Discover: You discover the opportunity and apply to the role

  • Talk: You take part in a 30-45 minute screening call with the Hiring Manager to chat about the role and the team.

  • Deep dive: We have a 60 minute call to dive deep into your experience and the role.

  • Meet your team: You have a video call with a few other Xaba team members.

  • Offer: You receive an offer to join Xaba!

Accommodations and Accessibility

Inclusion and equity are the cornerstones of how we recruit, hire, and develop talent. We encourage applications from all candidates, especially those who identify as members of the BIPOC community, LGBTQ++ community, women, caregivers, immigrants, and people living with disabilities. We encourage candidates to include any accommodations you require in your application. We look forward to hearing from you.

Job requirements

  • Collaboration and Communication:

    • Collaborate with sales and marketing teams to communicate the value of AI-driven robotics solutions to clients.

    • Participate in technical workshops and contribute to conferences showcasing AI applications in robotics.

    • Strong communication skills for presenting AI solutions to both technical and non-technical audiences.

  • Product Development Support:

    • Collaborate with the product development team to assess features and identify areas for improvement.

    • Contribute to the creation of technical documentation and training materials.

  • Quality Assessment and Bug Reporting:

    • Perform quality assessments of AI-driven robotics solutions.

    • Identify, prioritize, and report bugs to the development team.

  • Technical Proficiency:

    • 3+ years of working experience in Computer Vision related areas.

    • Proven experience of 3D and 2D data analysis process: gathering, cleaning, processing and labeling.

    • Demonstrated competence in setting up vision devices from both hardware (installation, configuration and calibration) and software (integration) perspectives.

    • Python programming language and core AI (Tensorflow/Pytorch, Scikit-Learn) and CV (Open3D/PCL, OpenCV, Scikit-Image) modules.

    • Familiarity with reading, understanding and implementing research papers.

  • Continuous Learning:

    • A commitment to continuous improvement and staying updated on advancements in AI and robotics.


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