Research Engineer - SfM/SLAM
Third Dimension
Apply to this job Bay Area London, UK remote Until 8/21/2026 3+ years exp First posted May 25, 2026 Last posted May 25, 2026
Job description
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.
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.
Preferred Qualifications and 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.
Nice to Have:
- Experience in Radiance Fields (Nerf, Gaussian Splatting, etc.).
- Proficient in using open-source deep learning frameworks like TensorFlow/PyTorch.
- Experience in model training and performance optimization.
- Contributions to popular open-source machine learning projects.
- Publications in top-tier AI/ML/CV conferences.
Location:
- London, UK / Graz, Austria: This is a priority for us, as we're trying to build a presence around our already existing team in London or Graz. Hybrid in office preferred
- Remote: If London is not an option, but you're amazing, we're open to having you work out your home location.
Benefits:
- Competitive salary, benefits and stock options.
- Pension, retirement plan for employees
- Comprehensive health, dental, and vision insurance.
- The latest and best office equipment.
About this role
Summary
Solve 3D reconstruction problems using AI, focusing on SfM and SLAM techniques.
Job title
Research Engineer - SfM/SLAM
Experience level
3+ years
Minimum experience
3+ years exp
Industry
software
Location requirements
London, UK or Graz, Austria; remote optional
Salary
Not specified
Management role
No
Skills & keywords
Required skills
mathematicsstatisticsstructure from motionslamcomputer visionpythondeep learning
Preferred skills
radiance fieldstensorflowpytorchmodel trainingperformance optimizationopen-source contributionspublications
Specializations
structure from motionslamcomputer visionmachine learning
Locations
Structured locations inferred from the posting.
United Kingdom
Remote Country
London, UK
On-site City
Graz, Austria
On-site City
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