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Senior Machine Learning Engineer, 3D Vision
- Boston, Massachusetts, United States
- Boston, Massachusetts, United States
À propos
What You’ll Work On
3D Reconstruction & Generation: Develop and deploy SOTA models for 3D human body part reconstruction (SDFs, NeRFs, Gaussian Splatting, or Mesh-based approaches) from videos.
Deep Learning: Architect pipelines that handle non-Euclidean data to extract precise clinical measurements from noisy real-world scans.
CAD Integration: Bridge the gap between AI inference and parametric CAD modeling for automated 3D printing preparation.
Rapid Prototyping & Continual Learning: You should be used to keeping up to date on latest advances and quickly implementing these advancements into our systems.
Production ML: Work with our engineering team to deploy models into our AWS/serverless environment, ensuring clinical-grade accuracy at scale.
Ideal Candidate Profile Technical Requirements
PhD in Machine Learning, Computer Graphics, Geometry Processing, or a related field, or equivalent experience.
Deep expertise in 3D representations (Meshes, Point Clouds, Voxels, SDFs) and their respective computational tradeoffs.
Proven track record in Generative Vision, 3D Reconstruction, or related topics.
Strong proficiency in Python and PyTorch.
Experience in CAD and computational geometry is a big plus.
Experience with ML infrastructure in AWS (SageMaker, Lambda, etc) and model deployment is a plus.
Experience in Biomedical AI or Biomechanics (e.g., modeling joint movement or tissue) is highly valued but not required.
Helpful Characteristics
Fast Iteration Mindset: Willingness to move fast, iterate confidently in ambiguous tasks and deliver results from imprecise instructions or requirements.
Product Minded: Our AI team communicates the art of the possible. Having a good eye for high-value product opportunities is a major plus.
Polymathic: You can discuss loss functions with researchers, API latency with engineers, and 3D printing constraints with manufacturing.
Strong Communicator: You clearly explain your ideas, challenge assumptions, and collaborate across engineering, AI, and product teams.
Mission-Driven: You want to build technology that helps people walk without pain and revolutionize the future of orthopaedic care.
Thrives in Collaboration: You push back, ask tough questions, and elevate the team.
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Compétences linguistiques
- English
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