Role overview
About The Role
We are seeking a highly skilled and motivated Machine Learning Engineer to join our innovative technology team. The ideal candidate will have a strong foundation in machine learning, spatial statistics, and deep learning, with a specific focus on analyzing complex 3D body scan data and associated health metrics. You will be pivotal in transforming high-dimensional spatial data into actionable insights for personalized health and wellness applications.
What you'll work on
- Develop, train, and deploy machine learning and deep learning models for spatial analysis of 3D human body scans.
- Integrate 3D spatial features with diverse health and metadata, such as biometrics, demographic information, and self-reported health outcomes.
- Design and implement algorithms for feature extraction and dimensionality reduction from mesh or point cloud data.
- Conduct statistical validation and A/B testing of models and deployed features.
- Collaborate with software engineers and domain experts (e.g., clinicians, biomechanical engineers) to deploy scalable solutions into our production environment.
- Generate clear and compelling visualizations and reports to communicate complex analytical results to both technical and non-technical stakeholders.
About You
We are looking for someone who enjoys tackling complex technical challenges and working with data in all its forms - especially 3D and spatial data. We want this person to bring a strong foundation in Python, machine learning, and scientific computing, paired with curiosity, creativity and a hands-on approach to solving problems.
What we're looking for
Required Skills & Technologies
The successful candidate must possess deep expertise in the following areas: