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- Tasks: Lead research in bridging 3D computer vision and language for AI navigation.
- Company: Join Niantic Spatial, a pioneer in geospatial AI technology.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative culture focused on innovation and mentorship.
- Why this job: Shape the future of AI with cutting-edge technology and impactful projects.
- Qualifications: PhD in Computer Vision or related field with 4+ years of ML research experience.
The predicted salary is between 60000 - 80000 £ per year.
At Niantic Spatial, we’re building the future of geospatial AI. Powered by a proprietary database of over 30 billion posed images and a groundbreaking third-generation digital map, our mission is to develop spatial intelligence that helps both humans and machines better understand, navigate, and engage with the physical world. Our high-fidelity mapping technology unlocks a new dimension of interaction—laying the foundation for AI to truly comprehend and operate within real-world environments.
As a Computer Vision Researcher with experience in Large Language Models (LLMs), you will bridge the gap between 3D computer vision LLMs, creating a unified framework where machines can reason about their surroundings. By linking spatial geometry directly to language, you will enable our systems to perform context-aware navigation and answer complex, open-ended questions about the physical world.
Responsibilities
- Architect Semantic Grounding: Lead research into cross-modal grounding that connects 3D spatial features with language embeddings, enabling the LGM to "understand" object relationships and environmental context.
- Scale "Understand" Capabilities: Develop and deploy algorithms for continuous semantics, allowing our 3D maps to evolve and improve their situational awareness as new ground-level and aerial data is ingested.
- Agentic Frameworks: Build the "spatial brain" for Embodied AI, enabling robots, drones and other machines to move beyond simple navigation to mission-level reasoning.
- Multimodal Benchmarking: Define the standards for measuring "spatial common sense" in LLMs, creating evaluations that test a model’s ability to interpret and operate within complex 3D scenes.
- Technical Mentorship: Serve as the technical anchor for the London R&D hub, resolving architectural disagreements and mentoring the next generation of researchers in the fusion of 3D CV and NLP.
- Collaborative Innovation: Partner with Product leads to ensure the "Understand" API delivers high business value for enterprise customers in robotics, logistics, and field operations.
Required Qualifications
- Education: PhD (or equivalent) in Computer Vision, Machine Learning, or Robotics with a focus on Multimodal/Semantic understanding.
- Years of Experience: 4+ years of experience in ML research, with a proven track record of shipping models that bridge 3D Vision and Language.
- Technical Depth: Expert knowledge of 3D Geometry (SfM, SLAM, VPS) and Transformer-based architectures (VLMs).
- Research Impact: Multiple first-author publications at top-tier venues (CVPR, NeurIPS, ICLR) focusing on VLMs, scene understanding or semantic segmentation.
- Implementation Mastery: Ability to write production-quality research code in PyTorch or JAX and manage large-scale data pipelines.
- Required In-Office Days: 3 days per week.
Plus If
- Experience with Gaussian Splatting or NeRFs for semantic scene representation.
- Background in robotics (ROS) or building agentic systems that interact with physical environments.
- Experience with "open-set" recognition and Zero-Shot learning.
Staff Computer Vision Researcher (LLM) in London employer: Niantic Spatial
Contact Detail:
Niantic Spatial Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Computer Vision Researcher (LLM) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to 3D computer vision and LLMs. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical team members.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Niantic Spatial.
We think you need these skills to ace Staff Computer Vision Researcher (LLM) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in 3D computer vision and LLMs. We want to see how your skills align with our mission at Niantic Spatial, so don’t hold back on showcasing relevant projects!
Showcase Your Research Impact: If you've got publications under your belt, especially in top-tier venues, make them shine! We love seeing candidates who have made a mark in the field, so include those details prominently in your application.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to understand your qualifications and how you can contribute to our team.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Niantic Spatial
✨Know Your Stuff
Make sure you brush up on your knowledge of 3D geometry, machine learning, and large language models. Be ready to discuss your past research and how it relates to the role at Niantic Spatial. They’ll want to see that you can connect the dots between your experience and their mission.
✨Showcase Your Projects
Prepare to talk about your previous projects, especially those involving multimodal understanding or semantic grounding. Highlight any publications you've authored and be ready to explain the impact of your work. This is your chance to demonstrate your expertise and how it aligns with their goals.
✨Think Collaboration
Since the role involves mentoring and collaborating with product leads, think about examples where you've successfully worked in a team. Be prepared to discuss how you resolve disagreements and foster innovation. They’ll appreciate a candidate who values teamwork and can lead technical discussions.
✨Ask Insightful Questions
Prepare thoughtful questions about their current projects and future directions in geospatial AI. This shows your genuine interest in the company and helps you gauge if it's the right fit for you. Asking about their approach to continuous semantics or agentic frameworks could spark a great conversation!