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3D Computer Vision Engineer @Scale army careers
AI / ML
Salary unspecified
Remote Location
remote Africa
Job Type full-time
Posted 1wk ago

[Hiring] 3D Computer Vision Engineer @Scale army careers

1wk ago - Scale army careers is hiring a remote 3D Computer Vision Engineer. 💸 Salary: unspecified 📍Location: Africa

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

The 3D Computer Vision Engineer will join the team as the first computer vision hire, owning the development of the body measurement and 3D reconstruction pipeline from scratch. This role is pivotal to building the technical foundation of the product and shipping the Alpha prototype within the next two months, offering a unique opportunity to make a significant impact in an early-stage environment.

  • Build Computer Vision Models
    • Design and develop computer vision models for smartphone-based body measurement.
    • Create the 2D-to-3D body reconstruction pipeline to enable real-time body mapping on mobile devices.
  • Real-Time Processing
    • Develop and optimize real-time processing techniques for mobile deployment.
    • Ensure seamless performance of the system on edge devices.
  • Data Collection & Validation Infrastructure
    • Build infrastructure for data collection, validation, and testing to support high-quality model training.
    • Conduct experiments to validate model accuracy and performance.
  • Prototype Development
    • Ship the Alpha prototype within 4–6 weeks.
    • Collaborate with technical and product teams to integrate feedback and iterate during the prototype phase.
  • Ownership of Technical Foundation
    • Lead all technical efforts related to body measurement and 3D reconstruction pipelines.
    • Drive technical decisions and best practices.

Qualifications

  • Mid to Senior-level computer vision experience, including shipped products.
  • Strong background in 3D reconstruction, point clouds, or semantic segmentation.
  • Experience deploying machine learning models to mobile or edge devices.
  • Proficiency in Python and frameworks such as PyTorch or TensorFlow.
  • Experience with body modelling, pose estimation or human mesh reconstruction, and measurement extraction.
  • Knowledge of real-time computer vision applications.
  • Deep AI/ML knowledge.
  • Familiarity with mobile machine learning frameworks such as Core ML, TFLite, or ONNX.
  • Previous early-stage startup experience is a plus.

Requirements

  • Ability to build and optimize high-performance real-time computer vision systems.
  • Strong technical ownership and ability to lead foundational architecture decisions.
  • Problem-solving skills with a focus on rapid experimentation and iteration.
  • Understanding of longer-term vision (materials, physics, fabric modeling).
  • Comfort working solo with a non-technical founder.
  • Ability to translate highly complex requirements into working pipelines.
  • Ability to work collaboratively in a fast-paced, early-stage environment.

Opportunity

This is a rare opportunity to join an early-stage, AI-driven startup at the ground level. You will help shape the direction of the product, influence the technical roadmap, and grow into a leadership role as the company scales. If you are passionate about computer vision, 3D reconstruction, and AI in fashion, this role offers a chance to make a lasting impact.

Application Process

To be considered for this role these steps need to be followed:

  • Fill in the application form
  • Record a video showcasing your skill sets
Before You Apply
remote Be aware of the location restriction for this remote position: Africa
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Back to Remote jobs  >   AI / ML
3D Computer Vision Engineer @Scale army careers
AI / ML
Salary unspecified
Remote Location
remote Africa
Job Type full-time
Posted 1wk ago
Apply for this position Unlock 75,545 Remote Jobs
remote Be aware of the location restriction for this remote position: Africa
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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