In this role, you will …
- Help improve existing 3D machine learning models. This entails:
- Adapting and training models
- Making decisions about data collection and labelling
- Design novel machine learning algorithms to solve real-world problems
- Build data pre- and post-processing pipelines for the machine learning models
- Optimize test-time ML pipelines for speed and memory usage
- Build processes to validate performance and robustness of the test-time ML pipelines
- A background in Computer Graphics / Computer Vision / Machine Learning
- 4+ years of relevant work experiance
- Extensive experience in Python and the following libraries:
- PyTorch
- Graphics processing libraries such as trimesh, pymeslab, open3d, libigl
- Standard data processing libraries such as numpy, opencv, scikit, scipy
- The ability to work on cutting-edge research projects, while having a product mindset
- Knowledge about the most common neural network architectures such as AE, VAE, MLP, CNN, transformer
- Experience in bringing ML models to production (MLOps)
- Some knowledge about 3D / geometric machine learning architectures
- Some knowledge about generative AI
- Some experience with C++
- Some experience with other ML frameworks, such as TensorFlow
- Some experience with parallel computing / code optimization
- Some experience developing mathematical optimization algorithms
- Some experience in cloud computing / deployment including AWS, Docker
- Exciting and varied activities in a dynamic and growth-oriented software company
- Positive working atmosphere that promotes both individual freedom and responsibility
- Strong team spirit and very good working atmosphere
- Modern offices and workstations, working with the latest technologies
- Flexible working hours
- Hybrid work, Monday and Friday home office possible
- Training opportunities
- Company events
- Sports opportunities and work-life balance
- Free drinks, fruit and snacks / Canteen with own cook
- Good transport connections
About Align
By joining Align, you will be part of a global, fast-growing company in one of the most dynamic industries. Great people, innovative technologies, and meaningful work – these are just some of the
