Machine Learning Engineer, 3D Vision

🕒 August 20

🏄 California, Florida, +2 more states – Remote

🏄 California – Remote 🐊 Florida – Remote 🗽 New York – Remote ☕ Washington – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 spatial analysis of 3D human body scans • Prototype solutions from zero to one and build production infrastructure • Build predictive models using ground-truth 3D data to address physiological challenges • Integrate 3D spatial features with biometrics, demographic information, and self-reported health outcomes • Design 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 • Create visualizations and reports communicating analytical results to technical and non-technical stakeholders

🎯 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 • Proficiency with SciPy and Scikit-learn • High proficiency in Linux/Unix-based terminal interfaces and cloud shell environments • Experience with AWS, GCP, or Azure CLI • Production experience utilizing PyTorch and/or TensorFlow/Keras • Strong background in statistical modeling, predictive modeling, and experimental design • Direct experience with 3D geometry computer vision tasks such as registration, segmentation, and shape analysis • Strong familiarity with spatial statistics and techniques for analyzing geometric features

🏖️ Benefits

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