At a Glance
- Tasks: Lead groundbreaking research in 3D computer vision and language models.
- Company: Innovative tech firm at the forefront of spatial intelligence.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic London R&D hub with mentorship opportunities.
- Why this job: Join a team shaping the future of AI and spatial reasoning.
- Qualifications: PhD in relevant field and 4+ years of ML research experience.
The predicted salary is between 80000 - 100000 £ per year.
Building a living model of the world that people and machines can talk to. Powered by a proprietary database of over 30 billion posed images and a next-gen digital map, they are developing the spatial intelligence that helps humans and machines understand, navigate, and engage with the physical world.
As a Technical Anchor in their London R&D hub, you will bridge the gap between 3D computer vision and Vision-Language Models (VLMs), creating a unified framework where machines can reason about their surroundings.
What You’ll Be Doing:
- Architect Semantic Grounding: Lead research into cross-modal grounding connecting 3D spatial features with language embeddings.
- Scale 'Understand' Capabilities: Develop algorithms for continuous semantics, allowing 3D maps to evolve and improve situational awareness.
- Agentic Frameworks: Build the 'spatial brain' for Embodied AI, enabling robots, drones, and machines to move into mission-level reasoning.
- Multimodal Benchmarking: Define standards for measuring 'spatial common sense' in LLMs/VLMs.
- Technical Mentorship: Act as the technical anchor for the London hub, guiding architecture and mentoring researchers.
What We Are Looking For:
- Education: PhD (or equivalent) in Computer Vision, Machine Learning, or Robotics focusing on Multimodal/Semantic understanding.
- Experience: 4+ years of ML research experience with a track record of shipping models bridging 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).
- Code Mastery: Production-quality research code in PyTorch or JAX + large-scale data pipeline management.
- Location: Ability to work hybrid from their London office (3 days/week).
Computer Vision Researcher (VLM) employer: DeepRec.ai
As a Computer Vision Researcher at our London R&D hub, you will be part of a pioneering team dedicated to advancing spatial intelligence through innovative research and development. We offer a collaborative work culture that fosters creativity and technical mentorship, alongside opportunities for professional growth in a cutting-edge field. With access to a proprietary database and the chance to shape the future of embodied AI, this role provides a unique platform for impactful contributions in a vibrant city known for its tech innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision Researcher (VLM)
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We think you need these skills to ace Computer Vision Researcher (VLM)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at DeepRec.ai
✨Brush Up on Your Statistics
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