Machine Learning Engineer

Full Time
Hannover/Remote
About us

We are on a mission to bring the beauty and complexity of nature into the virtual world. We make it incredibly easy for 3D Artists around the world to create amazing 3D environments in an artist-friendly and creative way. We have big dreams for where to go next, and we'd love to have you on this journey with us.

We have been working on this together since 2018 and have customers and partners like Autodesk, NVIDIA, Amazon Games and thousands more. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the thousands of people Graswald already reaches worldwide.

Hi there đź‘‹
Hi there đź‘‹

We are creating the future of 3D content generation using automated machine learning tools. Our efforts are focused on applying state-of-the-art Deep Learning techniques to simplify, automate and streamline 3D asset generation. This requires us to tackle some of the biggest open questions in computer vision and ML and come up with novel and creative solutions.

We are looking for a Machine Learning Engineer who is passionate about applying Machine Learning to solve problems in the field of 3D Computer Graphics and Machine Vision.

You will be working as part of a small team to design, build and maintain pipelines for data processing, model training, and evaluation. You will be designing and running experiments to evaluate ML models for image recognition, segmentation, retrieval, texture synthesis, and 3D shape generation.

What you'll achieve

  • You'll plan and design our 3D production workflows with us
  • You’ll design and implement automated pipelines for model training and evaluation
  • You’ll design and run experiments to evaluate state-of-the-art research in the domain of 2D and 3D content analysis and generation.
  • You’ll collaborate with other departments on data acquisition processes.

Skills you'll need to bring

  • 2+ years of professional experience working in the domain of deep learning and computer vision
  • Experience in building and maintaining data pipelines
  • Strong programming experience with Python
  • Experience inworking with ML libraries such as TensorFlow, PyTorch, MatCovNet, MXNet, etc. (experience with PyTorch is preferred)
  • Strong contributor to the maintenance of a fantastic and transparent culture
  • Proactive and effective communication style

Nice-To-Have Skills

  • Programming experience in C/C++
  • Botanical or geobotanical knowledge
  • Familiarity with 3D Computer Graphics and popular CG tooling
  • Knowledge of PBR and real-time rendering techniques

‍

Hallo đź‘‹

We are creating the future of 3D content generation using automated machine learning tools. Our efforts are focused on applying state-of-the-art Deep Learning techniques to simplify, automate and streamline 3D asset generation. This requires us to tackle some of the biggest open questions in computer vision and ML and come up with novel and creative solutions.

We are looking for a Machine Learning Engineer who is passionate about applying Machine Learning to solve problems in the field of 3D Computer Graphics and Machine Vision.

You will be working as part of a small team to design, build and maintain pipelines for data processing, model training, and evaluation. You will be designing and running experiments to evaluate ML models for image recognition, segmentation, retrieval, texture synthesis, and 3D shape generation.

What you'll achieve

  • You'll plan and design our 3D production workflows with us
  • You’ll design and implement automated pipelines for model training and evaluation
  • You’ll design and run experiments to evaluate state-of-the-art research in the domain of 2D and 3D content analysis and generation.
  • You’ll collaborate with other departments on data acquisition processes.

Skills you'll need to bring

  • 2+ years of professional experience working in the domain of deep learning and computer vision
  • Experience in building and maintaining data pipelines
  • Strong programming experience with Python
  • Experience inworking with ML libraries such as TensorFlow, PyTorch, MatCovNet, MXNet, etc. (experience with PyTorch is preferred)
  • Strong contributor to the maintenance of a fantastic and transparent culture
  • Proactive and effective communication style

Nice-To-Have Skills

  • Programming experience in C/C++
  • Botanical or geobotanical knowledge
  • Familiarity with 3D Computer Graphics and popular CG tooling
  • Knowledge of PBR and real-time rendering techniques

‍

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