At a Glance
- Tasks: Design and maintain cutting-edge AR computer vision systems while collaborating with diverse teams.
- Company: Join Niantic, a leader in Augmented Reality innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on creativity and innovation.
- Why this job: Be part of a team that maps the world through exciting 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 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. With a strong emphasis on collaboration and professional growth, we offer unique opportunities for skill development and career advancement, all while working in a vibrant location that inspires creativity and teamwork. Join us to be part of a mission-driven team dedicated to mapping the world through AR, where your contributions will have a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AR Computer Vision Engineer — Scale Production CV/ML
✨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 usual application.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and C++ skills, and be ready to discuss your experience with cloud and mobile technologies. Practice makes perfect!
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a better chance to stand out in the crowd.
We think you need these skills to ace AR Computer Vision Engineer — Scale Production CV/ML
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 programming skills, make sure to mention your proficiency in Python and C++. If you’ve worked on any machine learning projects, give us the details – we love seeing practical applications of your knowledge!
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 tackle some technical challenges during the interview. Think of examples from your past work where you faced a tough problem and how you solved it. This is your chance to demonstrate your analytical thinking and creativity, which are crucial for optimising AR solutions.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, be ready to discuss your experience in collaboration. Share stories about how you’ve worked with different departments or disciplines, and highlight your communication skills. This will show that you can thrive in a team environment.
✨Stay Updated on AR Trends
Familiarise yourself with the latest trends and advancements in augmented reality and computer vision. Being able to discuss current developments will not only impress your interviewers but also demonstrate your passion for the field and your commitment to continuous learning.
