FIT:MATCH.ai · 9 hours ago
Senior Machine Learning Engineer - Remote
United States
Full-time
Remote
Mid, Senior Level
$150K/yr - $180K/yr
3+ years expFIT:MATCH.ai is a B2B2C technology company aiming to revolutionize the apparel industry through data science. They are seeking a highly skilled Machine Learning Engineer to develop and deploy models for analyzing 3D body scan data, transforming it into actionable health insights.
ApparelFashionRetail
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
Qualification
Required
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
Deep expertise in cloud computing technologies such as AWS, Azure, GCP
Expert level in Python and its scientific computing stack
Experience with Deep Learning Frameworks: PyTorch and/or TensorFlow/Keras
Data Manipulation skills using Pandas, NumPy
Scientific Computing skills using SciPy, Scikit-learn
Strong background in statistical modeling, predictive modeling, and experimental design
Experience with computer vision tasks relevant to 3D geometry (e.g., registration, segmentation, shape analysis)
Familiarity with spatial statistics and techniques for analyzing geometric features
Preferred
Docker, Kubernetes
Proficiency in Linux
3D modeling in Blender
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
Startup experience
Benefits
Generous PTO policy + 12 paid US holidays
Medical, dental, and vision insurance for you and your family
Paid Parental leave
401k
Company
FIT:MATCH.ai
Fit:match.ai is the world’s leading AI platform for body insights, using advanced computer vision to turn a 3-second mobile scan into high-fidelity, real-world body intelligence.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$7M2021-05-01Seed· $4M
2020-09-01Angel· $2.25M
2019-12-01Angel· $0.75M
Leadership Team
Haniff Brown
Founder and CEO
Recent News
2025-12-19
2024-01-28
Company data provided by crunchbase