Researcher - 3D Reconstruction

third-dimension; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Stock options

Pension plan

Health insurance

Flexible time off

Hybrid-first culture

Learning & development

Community & events

Office equipment

Job summary

Third Dimension is seeking a Research Scientist to tackle cutting-edge neural reconstructions and apply computer vision and Gen AI to enhance our 3D reconstruction pipeline.

We value deep ML expertise, hands-on development, and a track record of advancing AI capabilities in 3D vision. Hybrid in-office work is preferred, with remote options if outstanding.

Qualifications

• Strong mathematical and statistical background.
• Expert in Radiance Fields (NeRF, Gaussian Splatting, etc.).
• Expert in Structure from Motion.
• Proficient in using TensorFlow/PyTorch.
• Experience in model training and performance optimization.

Skills

Math & Stats

Radiance Fields

Structure from Motion

Model Training

Tools

TensorFlow

PyTorch

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 to hire a Research Scientist that is interested solving cutting edge neural reconstructions, developing and applying computer vision and Gen AI models to enhance the quality and efficiency of our 3D reconstruction pipeline.

Preferred Qualifications and skills:

• Strong mathematical and statistical background with deep insights into machine learning algorithms.
• Expert in Radiance Fields (Nerf, Gaussian Splatting, etc.).
• Expert in Structure from motion
• Proficient in using open-source deep learning frameworks like TensorFlow/PyTorch.
• Experience in model training and performance optimization.

Nice to Have:

• 3+ years of practical work experience in AI, with hands-on development experience.
• Experience of multimodal training such as 3D, video generation, or computer vision methods.
• Experience with meshing pipelines
• Contributions to popular open-source machine learning projects.
• Publications in top-tier AI/ML/CV conferences.

Location:

• London, UK / Graz, Austria/ Bay Area: This is a priority for us, as we're trying to build a presence around our already existing team in London, Graz or Bay area. Hybrid in office preferred
• Remote: If these are are not an option, but you're amazing, we're open to having you work out your home location.

Benefits:

• Competitive salary & stock options– Everyone is an owner and shares in our success.
• Pension / retirement plan– Company contributions to support your long-term financial wellbeing.
• Health & wellness– Comprehensive health, dental, and vision insurance (with regional equivalents for employees outside the UK).
• Flexible time off– Generous holiday allowance plus local public holidays.
• Hybrid-first culture– State‑of‑the‑art London workspace with the flexibility to work remotely.
• Workspace support– Latest hardware and home office equipment to set you up for success.
• Learning & development– Budget and time for conferences, courses, and workshops to keep you at the frontier of ML and 3D AI.
• Community & connection– Team offsites, events, and opportunities to connect with global colleagues.
• Comprehensive health, dental, and vision insurance.
• The latest and best office equipment.