At a Glance
- Tasks: Design and maintain cutting-edge computer vision systems for AR mapping.
- Company: Join Niantic, a leader in Augmented Reality innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Collaborative environment with a focus on creativity and innovation.
- Why this job: Be part of a team that shapes the future of AR technology.
- Qualifications: PhD or MSc with 3+ years in software development; Python and C++ skills required.
The predicted salary is between 60000 - 80000 £ per year.
Niantic, Inc. is seeking a Computer Vision Software Engineer to advance their Augmented Reality (AR) Mapping platform. This role involves designing and maintaining computer vision systems, collaborating with cross-functional teams, and optimizing solutions for cloud and mobile technologies.
The ideal candidate has:
- A PhD in a relevant field or MSc with 3+ years of software development experience
- Proficiency in Python and C++
- Strong knowledge of machine learning concepts
Join us in mapping the world through AR.
AR Computer Vision Engineer — Scale Production CV/ML in London employer: Niantic, Inc.
At Niantic, Inc., we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to push the boundaries of technology in Augmented Reality. Located in a vibrant tech hub, we offer competitive benefits, opportunities for professional growth, and a collaborative environment where your contributions directly impact the future of AR mapping. Join us to be part of a team that values creativity and encourages continuous learning in a field that is shaping the way we interact with the world.
StudySmarter Expert Advice🤫
We think this is how you could land AR Computer Vision Engineer — Scale Production CV/ML in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AR and computer vision space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in computer vision and machine learning. This is your chance to demonstrate what you can do beyond the written application.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and C++ skills. Practice coding challenges and be ready to discuss your past projects in detail—this is where you can really shine!
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AR Computer Vision Engineer — Scale Production CV/ML in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in computer vision and AR technologies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AR and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills:Since we’re looking for someone with strong Python and C++ skills, make sure to mention any relevant projects or experiences. If you’ve worked on machine learning applications, give us the details – we love seeing practical examples!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Niantic, Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your Python and C++ skills before the interview. Be ready to discuss specific projects where you've applied these languages, especially in relation to computer vision or machine learning. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles, particularly those involving AR or CV systems. Think about how you approached these problems and what solutions you implemented. This will demonstrate your ability to think critically and work collaboratively with cross-functional teams.
✨Familiarise Yourself with AR Mapping
Dive into the specifics of AR mapping technologies and Niantic's platform. Understanding their current projects and challenges will allow you to ask insightful questions and show genuine interest in their work. It’s a great way to connect your experience with their needs.
✨Prepare for Technical Questions
Expect technical questions related to machine learning concepts and computer vision algorithms. Brush up on key topics like image processing, feature extraction, and model optimisation. Practising coding problems related to these areas can also give you an edge during the technical assessment.
