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FIT:MATCH.ai · 9 hours ago

Machine Learning Engineer - Remote

United States

Full-time

Remote

Mid Level

$150K/yr - $180K/yr

3+ years exp

FIT: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 and associated health metrics, transforming complex data into actionable insights for personalized health applications.

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

PythonDeep Learning Frameworks3D Data ProcessingStatistical ModelingCloud ComputingLinux ProficiencyCollaborationProblem SolvingCreativity

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 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

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

Startup experience

Cloud computing technologies such as AWS, Azure, GCP

Docker, Kubernetes

Proficiency in Linux

3D modeling in Blender

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.

Founded in 2018

Fort Lauderdale, Florida, USA

11-50 employees