Fit:match is seeking a Machine Learning Engineer to transform high-dimensional spatial data into actionable insights for personalized health and wellness applications, specifically analyzing complex 3D body scan data and associated health metrics.
Requirements
- Python (expert level) and its scientific computing stack.
- Deep Learning Frameworks: PyTorch and/or TensorFlow/Keras.
- Data Manipulation: Pandas, NumPy.
- Scientific Computing: SciPy, Scikit-learn.
- Experience working with 3D point clouds and/or mesh data structures (e.g., PLY, OBJ, USDZ, PEBKAC, STL formats).
- Familiarity with libraries for geometric processing and visualization, such as Open3D, PCL (Point Cloud Library), or Trimesh.
- Knowledge of geometric deep learning techniques (e.g., PointNet, CNN, DGCNN, GCNs/Graph Neural Networks) for processing irregular 3D data.
Responsibilities
- 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.
Other
- Bachelor’s or Master’s in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field.
- Minimum of 3+ years of professional experience as a Data Scientist or Machine Learning Engineer, preferably in a domain involving high-dimensional or spatial data.
- Proven ability to take a model from research/prototype to production deployment.
- Generous PTO policy + 12 paid US holidays
- Medical, dental, and vision insurance for you and your family
