Machine Learning Engineer, 3D Vision

🔥 0 minutes ago

🏄 California, Florida, +2 more states – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 12%

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FIT:MATCH.ai

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

🤖 Artificial Intelligence

👗 Fashion

🏥 Healthcare

Artificial Intelligence • Fashion • Healthcare

FIT:MATCH. ai is an AI-powered body intelligence platform that converts a 3-second mobile scan into high-fidelity body measurements, composition indicators, and hyper-realistic 3D avatars using advanced computer vision—no specialized hardware required. Their flagship QuadraScan product provides scalable, objective body data used across sports science (maturation and longitudinal tracking), 3D apparel design (true-to-body avatars that improve fit and reduce development cycles), and healthcare (remote patient baselines and tracking). The company positions itself as replacing subjective assessments with consistent, actionable body insights for enterprises in performance, fashion, and clinical contexts.

📋 Description

• Develop, train, and deploy advanced machine learning and deep learning models for complex spatial analysis of 3D human body scans • Move projects from zero-to-one prototyping to production infrastructure • Work directly with ground truth 3D data to build high-performance predictive models addressing physiological challenges • Synthesize 3D spatial features with biometrics, demographic information, and self-reported health outcomes • Design and implement algorithms for feature extraction and dimensionality reduction from irregular mesh or point cloud data • Conduct statistical validation and A/B testing of models and deployed features • Collaborate with software engineers, clinicians, and biomechanical engineers to integrate solutions into production • Generate visualizations and reports communicating complex analytical results to technical and non-technical stakeholders • Impact healthcare applications and performance tracking for adolescent and professional athletes

🎯 Requirements

• Bachelor’s or Master’s degree 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/Computer Vision Engineer, with a focus on high-dimensional or spatial data domains • Proven track record of autonomous ownership, taking a model from initial research/prototype to live production deployment • Expert-level Python and full command of its scientific computing stack • Deep proficiency with Pandas and NumPy, alongside SciPy and Scikit-learn • High proficiency in Linux/Unix-based terminal interfaces and cloud shell environments (AWS, GCP, or Azure CLI) • Capability to manage compute resources, automate workflows, and troubleshoot cloud infrastructure from the command line • Production experience utilizing PyTorch and/or TensorFlow/Keras • Strong background in statistical modeling, predictive modeling, and experimental design • Direct experience handling 3D geometry computer vision tasks, such as registration, segmentation, and shape analysis • Strong familiarity with spatial statistics and techniques for analyzing geometric features • Preferred: knowledge of geometric deep learning techniques, including PointNet, CNN, DGCNN, GCNs/Graph Neural Networks • Preferred: hands-on experience with 3D point clouds and/or mesh data structures, including PLY, OBJ, USDZ, and STL • Preferred: familiarity with Open3D, PCL, or Trimesh • Preferred: scaled deployment experience using Docker and Kubernetes • Preferred: experience with Blender for synthetic data generation or visualization

🏖️ Benefits

• Generous PTO policy • 12 paid US holidays • Medical, dental, and vision insurance for you and your family • Paid Parental Leave • 401k