Third Dimension
Research Engineer - SfM/SLAM
San Francisco, USA
Sponsorship not specifiedDetected 279 days ago
Machine LearningDeep LearningTensorFlowComputer VisionResearch
About the role
- We're looking for a research engineer interesting in solving the structure from motion problem, arguably the most challenging part of any 3D reconstruction pipeline.
Responsibilities
- This is a priority for us, as we're trying to build a presence around our already existing team in London or Graz.
Nice to have
- Experience in Radiance Fields (Nerf, Gaussian Splatting, etc.).
- Experience in model training and performance optimization.
- Publications in top-tier AI/ML/CV conferences.
Skills
- Strong mathematical and statistical background with deep insights into machine learning algorithms.
- Expert in Structure from Motion Expert in SLAM, state estimation.
- 3+ years of practical work experience in computer vision, with hands-on development experience.
Benefits
- Competitive salary, benefits and stock options.
- Pension, retirement plan for employees Comprehensive health, dental, and vision insurance.
Company info
- Third Dimension is building SuperSim, a new kind of simulator which can enable fast, cost-effective and photorealistic 3D simulations directly from source data using AI.
- We are working with customers across multiple industries, including autonomous vehicles, drones, robots in industrial and manufacturing environments, and more.
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