Senior Machine Learning Engineer

Hike Medical Co • Boston, MA

1d

About The Position

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.

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.
• 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.
• 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.

Nice To Haves

• 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.
• Having a good eye for high-value product opportunities is a major plus.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree