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- Tasks: Lead research in 3D vision and develop algorithms for spatial understanding.
- Company: Join Niantic Spatial, a leader in innovative tech based in Greater London.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Work in a dynamic team with a focus on cutting-edge technology.
- Why this job: Make an impact in the exciting field of AI and spatial technology.
- Qualifications: PhD and 4+ years of ML research experience required.
The predicted salary is between 60000 - 84000 £ per year.
Niantic Spatial, based in Greater London, seeks a Computer Vision Researcher to bridge 3D computer vision with Large Language Models. The role involves leading research, developing algorithms for contextual navigation, and defining evaluation standards for spatial understanding systems.
Candidates should hold a PhD and have over 4 years of ML research experience. The position requires strong technical skills in 3D Geometry and production-quality coding in PyTorch or JAX, along with a commitment of 3 in-office days per week.
Senior Spatial AI Researcher: 3D Vision & LLMs employer: Niantic Spatial
Contact Detail:
Niantic Spatial Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Spatial AI Researcher: 3D Vision & LLMs
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Niantic or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or research papers, make sure to highlight them during interviews. We want to see how you’ve tackled challenges in 3D computer vision and ML.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in PyTorch or JAX. Practice solving problems related to 3D geometry and spatial understanding to impress the hiring team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Spatial AI Researcher: 3D Vision & LLMs
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills in 3D Geometry and coding in PyTorch or JAX. We want to see how your experience aligns with the role, so don’t hold back on showcasing your best projects!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Senior Spatial AI Researcher position. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and passion for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the position. We can’t wait to hear from you!
How to prepare for a job interview at Niantic Spatial
✨Know Your Stuff
Make sure you brush up on your 3D computer vision and Large Language Models. Be ready to discuss your past research and how it relates to the role. We recommend preparing specific examples of algorithms you've developed or projects you've led.
✨Showcase Your Coding Skills
Since production-quality coding in PyTorch or JAX is crucial, be prepared to demonstrate your coding abilities. We suggest practising coding challenges or even discussing your previous codebases during the interview to show your technical prowess.
✨Understand Their Needs
Research Niantic Spatial and their current projects. Understanding their focus on contextual navigation and spatial understanding systems will help you tailor your responses. We encourage you to think about how your skills can directly contribute to their goals.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their evaluation standards for spatial understanding systems or future projects. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.