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Senior Machine Learning Engineer

Hike Medical Co
Posted 4 days ago, valid for 16 days
Location

Boston, MA 02212, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The Senior Machine Learning Engineer will develop pipelines to convert smartphone videos into high-fidelity, CAD-compatible 3D reconstructions of human anatomy.
  • Candidates should possess a PhD in Machine Learning or a related field, or have equivalent experience, along with deep expertise in 3D representations and generative vision.
  • The role requires strong proficiency in Python and PyTorch, with experience in CAD and AWS infrastructure being advantageous.
  • The ideal candidate should have a fast iteration mindset, strong communication skills, and a mission-driven approach to technology that improves orthopaedic care.
  • The position offers a competitive salary of $150,000 to $200,000 and requires a minimum of 5 years of experience in a relevant field.

The Role
As a Senior Machine Learning Engineer, you will bridge the gap between raw computer vision and physical, 3D-printed reality. You will own the pipeline that translates a smartphone video into a high-fidelity, CAD-compatible 3D reconstruction of human anatomy.
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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