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Senior Machine Learning Engineer - Computer Vision Team



Job Description

💧 About Pallon

At Pallon, a spin-off from ETH Zurich, we’re creating AI that automatically detects defects in sewer inspection videos and advises cities on when & how to fix them. By providing more precise, objective data, we aim to fix wastewater leaks, reduce CO2 emissions, and prevent urban flooding. Our mission is to make cities more sustainable and resilient.

💪 Your role
  • Conduct cutting-edge research on scene understanding (object detection, image segmentation, 3D reconstruction, SLAM, etc.) to build predictive maintenance products.

  • Take the lead in planning both research and engineering projects that solve high-level business problems.

  • Craft well-designed and maintainable software that is ready for production.

  • Actively contribute to our research processes, software architecture, and code quality.

  • Share your expertise with the team and help your peers grow as engineers.

🚀 Our tech stack

Note: we do not require experience in these exact technologies

  • Deep Learning: Python, Pytorch.

  • Computer Vision: C++, OpenCV, Ceres, Eigen.

  • Infrastructure: Kubernetes, Docker.

🎯 Requirements
  • Either: PhD related to Machine Learning or Computer Vision with publications at well-known conferences.

  • Or: 5+ years of industry experience building Machine Learning products from experiment to production and degree in Computer Science, Maths, or similar.

  • Collaborative communication skills, creating an environment of mutual learning and teaching.

  • Independent way of working & knowing when to ask questions

  • Experienced with software engineering on real-world codebases as part of a team.

  • Optional: Experience in project management or team leadership.

😎 Benefits & team culture

As a part of Pallon, you will:

  • Contribute to a positive impact on society and the environment

  • Develop a novel product that changes a whole industry

  • Work in a stimulating and fast-paced environment

  • Be part of a motivated, smart, fun, and supportive team

  • Own a part of Pallon and have a part in our success with our Employee Stock Option Plan (ESOP)

  • Work for the Underworld, not the Devil: exploring sewers virtually and in real life during our Pallon offsite

  • Work from home or enjoy access to our beautiful office space located in Zürich

Inclusion statement

At Pallon, we highly value equality of opportunity and inclusivity, and we would like to particularly encourage women and candidates from under-represented backgrounds to apply.

Advice from our career coach

As someone passionate about using AI for sustainability, I believe the role at Pallon requires strong research and engineering skills to develop predictive maintenance products for detecting defects in sewer inspection videos. To stand out as an applicant, showcase your expertise in scene understanding, object detection, image segmentation, and 3D reconstruction. Here are some tips to help you shine:

  • Highlight your experience in cutting-edge research related to Machine Learning or Computer Vision.
  • Demonstrate your ability to plan and lead projects that solve high-level business problems.
  • Showcase your skills in crafting well-designed and maintainable software ready for production.
  • Emphasize your collaborative communication skills and experience in contributing to research processes and code quality.
  • Share examples of how you have helped your peers grow as engineers and your experience with software engineering on real-world codebases.
  • If applicable, mention any experience in project management or team leadership.

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About the job

May 2, 2024


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