At a Glance
- Tasks: Conduct cutting-edge research in computer vision and develop innovative 3D reconstruction algorithms.
- Company: Join Niantic Spatial, a leader in spatial technology with a collaborative research team.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Exciting opportunity to publish at leading conferences and work on groundbreaking projects.
- Why this job: Make a real impact in the world of 3D technology while collaborating with top researchers.
- Qualifications: PhD or equivalent experience in computer vision, strong programming skills, and a solid research background.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a Computer Vision Research Engineer to join our Research Team in London. Our team researches and builds the 3D reconstruction technology behind Niantic Spatial’s platform, transforming casually captured or domain‑specific imagery into high‑fidelity, explorable 3D reconstructions. You will work at both ends of the pipeline – from academic publishing to production – collaborating with world‑class researchers in computer vision, machine learning, graphics, and robotics.
Location & Work Arrangement: London, UK – Hybrid model with a minimum of three days per week in the office. Niantic Spatial sponsors work visas for many roles; we cannot guarantee sponsorship for every candidate but will make a reasonable effort to support work authorization if we make you an offer.
Responsibilities:
- Conduct original research in computer vision, machine learning, and spatial AI.
- Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian splatting, geometric deep learning, Structure‑from‑Motion (SfM), feed‑forward models, and spatial foundation models.
- Collaborate with research scientists and engineers to transition promising ideas into future products.
- Develop large‑scale experiments and benchmarking frameworks.
- Work directly with production realities: real capture conditions, hardware constraints, and real customers.
- Publish research findings at leading conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, etc.
Qualifications:
- PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field. Exceptionally strong candidates with equivalent industry experience will be considered.
- A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, SfM, SLAM, or closely related areas.
- Strong publication record at top‑tier conferences.
- Strong programming skills in Python and experience with PyTorch.
- Evidence of translating research ideas into production‑ready features, pipelines, widely used open‑source releases, or similar tangible outcomes.
- Ability to independently drive research projects from idea generation through experimentation and publication.
Nice to Have:
- Experience with classical reconstruction tooling such as COLMAP.
- Knowledge of C++ or CUDA and an understanding of performance optimization and on‑device constraints.
Computer Vision Resarch Engineer employer: Niantic, Inc.
At Niantic Spatial, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our hybrid work model promotes flexibility while ensuring that our team engages directly with cutting-edge research and development in computer vision and spatial AI. With ample opportunities for professional growth, including publishing at leading conferences and working alongside world-class experts, we empower our employees to make meaningful contributions to transformative technology.
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We think this is how you could land Computer Vision Resarch Engineer
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We think you need these skills to ace Computer Vision Resarch Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Niantic, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Niantic, Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Niantic, Inc.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Niantic, Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
