Note: The job is a remote job and is open to candidates in USA. FIT:MATCH.ai is a technology company seeking a Computer Vision Engineer to join its Data Science team. The role focuses on transforming raw 3D body scan data, measurement features, and body composition metrics into actionable healthcare and sports/fitness insights. Responsibilities include developing and deploying machine learning models, extracting features from 3D data, validating models, collaborating with technical and domain experts, and communicating analytical results.
Responsibilities
- Architect & Pioneer: Develop, train, and deploy advanced machine learning and deep learning models for complex spatial analysis of 3D human body scans. You will move fluidly from zero-to-one prototyping to production infrastructure
- Build from Truth: Work directly with ground truth 3D data to creatively build high-performance, robust predictive models that solve tangible physiological pain points
- Cross-Disciplinary Integration: Synthesize 3D spatial features with multi-modal metadata, including biometrics, demographic information, and self-reported health outcomes to reveal comprehensive health insights
- Unlocking Complex Data: Design and implement novel algorithms for feature extraction and dimensionality reduction from irregular mesh or point cloud data
- Scientific Rigor & Validation: Conduct comprehensive statistical validation and A/B testing of models and deployed features to ensure real-world efficacy and safety
- Collaborative Thought Leadership: Act as a technical partner alongside software engineers and domain experts (such as clinicians and biomechanical engineers) to scale and integrate solutions directly into production
- Data Storytelling: Generate clear, compelling visualizations and reports that effectively communicate nuanced, complex analytical results to both technical teams and non-technical stakeholders
Skills
- Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field
- Experience: 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
- Execution: A proven track record of autonomous ownership—taking a model all the way from initial research/prototype to live production deployment
- • Python Mastery: Expert-level Python and full command of its scientific computing stack
- • Data & Math Foundations: Deep proficiency with data manipulation libraries like Pandas and NumPy , alongside scientific computing tools like SciPy and Scikit-learn
- • Infrastructure Autonomy: High proficiency in Linux/Unix-based terminal interfaces and cloud shell environments (AWS, GCP, or Azure CLI). You should be fully capable of managing compute resources, automating workflows, and troubleshooting cloud infrastructure directly from the command line
- • Deep Learning Frameworks: Production experience utilizing PyTorch and/or TensorFlow/Keras
- • Statistical Rigor: A strong background in statistical modeling, predictive modeling, and experimental design
- • 3D Geometry Processing: Direct experience handling computer vision tasks relevant to 3D geometry, such as registration, segmentation, and shape analysis
- • Spatial Statistics: Strong familiarity with spatial statistics and specialized techniques for analyzing geometric features
- • Advanced Geometric Deep Learning: Knowledge of cutting-edge geometric deep learning techniques (e.g., PointNet, CNN, DGCNN, GCNs/Graph Neural Networks) for processing irregular 3D structures
- • 3D Frameworks: Hands-on experience working with 3D point clouds and/or mesh data structures (e.g., PLY, OBJ, USDZ, STL formats)
- • Processing Libraries: Familiarity with modern libraries for geometric processing and visualization, such as Open3D, PCL (Point Cloud Library), or Trimesh
- • Modern MLOps: Scaled deployment experience using Docker and Kubernetes
- • Creative Prototyping: Experience with 3D modeling and asset creation in 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
Company Overview