Machine Learning Engineer
RemotePosted 1 month ago Expired
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Upload Your ResumeAbout This Role
This Machine Learning Engineer will join an innovative technology team to develop and deploy ML/DL models for spatial analysis of 3D human body scans, integrating spatial features with health and metadata to derive actionable insights for personalized health and wellness applications.
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
- 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 to deploy scalable solutions into our production environment
- Generate clear and compelling visualizations and reports to communicate complex analytical results
Requirements
- 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
- Proven ability to take a model from research/prototype to production deployment
- Deep expertise in Python and its scientific computing stack
- Expertise in cloud computing technologies such as AWS, Azure, GCP
- Deep learning frameworks (PyTorch and/or TensorFlow/Keras)
- Data manipulation (Pandas, NumPy)
- Scientific computing (SciPy, Scikit-learn)
- Strong background in statistical modeling, predictive modeling, and experimental design
- Experience with computer vision tasks relevant to 3D geometry
- Familiarity with spatial statistics and techniques for analyzing geometric features
Qualifications
- Bachelor’s or Master’s in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field
- 3+ years of professional experience as a Data Scientist or Machine Learning Engineer, preferably in a domain involving high-dimensional or spatial data
Nice to Have
- Docker
- Kubernetes
- Proficiency in Linux
- 3D modeling in Blender
- Experience working with 3D point clouds and/or mesh data structures
- Familiarity with libraries for geometric processing and visualization (Open3D, PCL, Trimesh)
- Knowledge of geometric deep learning techniques (PointNet, CNN, DGCNN, GCNs/Graph Neural Networks)
- Startup experience
Skills
* Required skills
Benefits
About FIT:MATCH.ai
FIT:MATCH is a B2B2C technology company revolutionizing the apparel industry through data science to deliver increased relevance and satisfaction for shoppers, improve retail economics, and promote sustainable apparel retail.