Remote Machine Learning Engineer - Remote

About the Role

We are seeking a highly skilled and motivated Machine Learning Engineer to join our innovative technology team. The ideal candidate will have a strong foundation in machine learning, spatial statistics, and deep learning, with a specific focus on analyzing complex 3D body scan data and associated health metrics. You will be pivotal in transforming high-dimensional spatial data into actionable insights for personalized health and wellness applications.

• 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.

We are looking for someone who enjoys tackling complex technical challenges and working with data in all its forms - especially 3D and spatial data. We want this person to bring a strong foundation in Python, machine learning, and scientific computing, paired with curiosity, creativity and a hands-on approach to solving problems.

• 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-dimensional or spatial data.
• Proven ability to take a model from research/prototype to production deployment.

• Programming & Core Libraries
  • Cloud computing technologies such as AWS, Azure, GCP
  • Python (expert level) and its scientific computing stack.
  • Deep Learning Frameworks:
    PyTorch and/or Tensor Flow/Keras.
  • Data Manipulation:
    Pandas, Num Py.
  • Scientific Sci Py, Scikit-learn.
• Machine Learning & Statistics
  • 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 Skills, but not required
  • 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., Point Net, CNN, DGCNN, GCNs/Graph Neural Networks) for processing irregular 3D data.
  • Startup experience

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

Fit:match is a B2B2C technology company on a mission to revolutionize the apparel industry through data science to deliver increased relevance and satisfaction for shoppers, improve retail economics, and help the industry as a whole make significant strides towards sustainable apparel retail. We are looking for people who share the same passion.

Fit:

Match is backed by an investor group including experienced angel investors, institutional firms, and multi-billion dollar retailers. The best part of working at Fit:

Match is without a doubt, the people. We pride ourselves on hiring team members who embody our people characteristics of low ego, collaboration, dependability, and proven domain expertise. At Fit:

Match, you would work cross-functionally with another top global talent with experience in the technology, data science, apparel design and fit, marketing, and retail industries. We obsess over growth, speed, and accuracy. We love a scrappy idea, an out-of-the-box growth hack, and live for reimagining and trying new things.