✨ About The Role
- The role involves designing, implementing, and evaluating machine learning models for large-scale additive manufacturing systems.
- Collaboration with other teams is crucial to deploy machine learning models into production environments.
- The job requires extracting insights from various data sources, including sensors and physical simulations.
- Effective communication and collaboration with stakeholders, including non-technical team members, is essential.
- The position is part of the additive technology team, which focuses on advancing Relativity's innovative tech stack.
âš¡ Requirements
- A degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related field is required.
- Candidates should have at least 2 years of professional experience in a field related to machine learning.
- Proficiency in programming languages such as Python or similar is essential.
- A demonstrated theoretical understanding of machine learning and statistics is necessary for success in this role.
- Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn is preferred.