The role involves applying diffusion techniques and developing AI models to enhance 3D reconstruction pipelines for various industries.
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 in applying diffusion to solve 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 generative AI algorithms (Diffusion, GAN, VAE, Flow-based models, etc.).
- 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.
- 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.
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Owns GitLab’s enterprise pricing, packaging, monetization, and commercialization strategy. Develops pricing programs, enterprise agreements, bundling, channel and cloud marketplace structures, discounting frameworks, and competitive deal plays. Partners with Product, Sales, Finance, Marketing, Deal Desk, Revenue Operations, and partners to implement scalable commercial programs. Creates pricing enablement materials, makes data-backed recommendations, influences senior stakeholders, and documents decisions in an asynchronous, globally distributed environment.
Top Skills:
Ai AgentsAutomationAWSGitlabGoogle Cloud PlatformAzure
Fintech • Financial Services
Conduct manual penetration testing, secure code reviews, and SAST triage across web applications, APIs, and AWS infrastructure. Develop AI-assisted security tooling, define testing approaches for LLM applications and agentic systems, and review AI-generated software before production. Communicate vulnerabilities, risks, and remediation priorities to engineering teams while improving secure SDLC practices.
Top Skills:
Ai AgentsAWSGoLlmsPythonRubySastTypescript
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Build and operate GRC data pipelines, integrations, policy-as-code, continuous control monitoring, evidence automation, and agentic AI workflows. Normalize security data from diverse systems, create auditable evaluation harnesses, govern AI systems, and define technical direction across teams. Partner with security governance, compliance, and engineering groups to transform manual governance processes into scalable products.
Top Skills:
AWSBuildkiteCi/CdClaudeGCPGoGrpcHTTPJavaJSONKotlinKubernetesLlm ApisModel Context ProtocolProtocol BuffersPythonSnowflakeSQLTerraform
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute



