Engineer - Machine Learning

Key Skills

3D models, Analytical and Problem solving, Computer Vision (CV), Data Warehousing, Deep Learning, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

Our team has an immediate 12-month contract opening for an Engineer / Researcher Machine Learning

Responsibilities:

• Develop and implement state-of-the-art algorithms (including machine learning ones) for data watermarking, especially 3D data (e.g., polygon meshes and point clouds) and 3D modelling.
• Develop and implement hypothesis tests to evaluate the effectiveness of data platforms and watermarking techniques.
• Conduct independent research and development of novel methods and techniques to solve complex problems related to data watermarking.
• Design and execute experiments and evaluations to improve the performance of the developed algorithms, models, and systems.
• Collaborate with cross-functional teams of engineers, data scientists, and product managers to identify and develop solutions to real-world problems, especially in data platforms.
• Develop and maintain documentation and codebase for research projects and prototypes.
• Stay up-to-date with the latest trends and technologies in the field of machine learning and deep learning, and apply them to data watermarking problem, particularly 3D data.
• Participate in POC and prototype developments, scientific publications, and patent applications.

Job requirements

What you'll bring to the team:

• M.Sc., or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Statistics or a related field.
• 2 years of experience in data science, machine/deep learning, computer vision, data watermarking, and 3D data modelling.
• Experience in developing secure data platforms and copyright protection of data.
• High proficiency and strong hands-on in programming languages such as Python.
• Familiar with full-stack development (especially web-based front- and back-ends).
• Familiar with deep learning platforms such as PyTorch and TensorFlow.