Machine Learning Engineer - Remote

Join to apply for the Machine Learning Engineer - Remote role at FIT:

MATCH.ai

This role offers a competitive salary based on skill and experience. Your actual pay will be determined in conversation with your recruiter.

$/yr - $/yr

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. You should 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 high‑dimensional or spatial data.
• Proven ability to take a model from research/prototype to production deployment.

• Programming & Core Libraries:
  • Python (expert level) and its scientific computing stack.
  • Deep Learning Frameworks:
    PyTorch and/or Tensor Flow/Keras.
  • Data Manipulation:
    Pandas, Num Py.
  • Scientific Computing:
    Sci Py, Scikit‑learn.
• Spatial & Geometric Data Processing:
  • Experience working with 3D point clouds and/or mesh data structures (e.g., PLY, OBJ, USDZ, STL formats).
  • Familiarity with libraries for geometric processing and visualization, such as Open3D, PCL, or Trimesh.
  • Knowledge of geometric deep learning techniques (e.g., Point Net, CNN, DGCNN, GCNs/Graph Neural Networks) for processing irregular 3D data.
• 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.

• Startup experience
• Cloud computing technologies such as AWS, Azure, GCP
• Docker, Kubernetes
• Proficiency in Linux
• 3D modeling in Blender

• Generous PTO policy + 12 paid U.S. holidays
• Medical, dental, and vision insurance for you and your family
• Paid parental leave
• 401(k)

Fit:match is a B2B2C technology company on a mission to revolutionize the apparel industry through data science. We deliver increased relevance and satisfaction for shoppers, improve retail economics, and help the industry move toward sustainable apparel retail. Our people are our strength; we pride ourselves on hiring team members who embody low ego, collaboration, dependability, and domain expertise. At Fit:match you will work cross‑functionally with top global talent in technology, data science, apparel design and fit, marketing, and retail industries.

Mid‑Senior level

Full‑time

Other

IT Services and IT Consulting