3D Computer Vision Machine Learning Engineer

We are seeking a visionary, highly skilled, and impact-driven Computer Vision Engineer (3D-focused) to join our Data Science team. This is a role designed for a creative problem solver and technical thought leader—someone who looks at complex, high-dimensional data and translates it into real-world human outcomes.

In this role, you will own the mission of transforming raw 3D body scan data, measurement features, and body composition metrics into actionable insights. Your work will directly impact cutting‑edge healthcare applications and optimize performance tracking for both adolescent and professional athletes in the sports/fitness space. If you want to move beyond passive model training and actively pioneer solutions to real‑world physical challenges, this is your sandbox.

Note: This position is a contract‑to‑hire opportunity.

• 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.

• The Problem‑Solver Mindset:
  You are energized by tackling ambiguous, complex technical challenges and excel at manipulating data in all its forms—especially 3D and spatial data.
• The Innovator's Foundation:
  You bring a bulletproof foundation in Python, machine learning, and scientific computing, paired with an insatiable curiosity, creativity, and a proactive, hands‑on approach to building solutions.
• Real‑World Impact Focus:
  You don't just optimize metrics in a vacuum; you care deeply about how your models perform when applied to a real human body.

• 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 Num Py, alongside scientific computing tools like Sci Py 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 Tensor Flow/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…