Computer Vision Researcher

15 Hours ago • 2 Years +

About the job

SummaryBy Outscal

Niantic seeks a Computer Vision Researcher with a PhD and 2+ years of experience in industrial research labs. Must have published papers in top conferences and designed novel CNN architectures. Experience with data collection, efficient code implementation, and 3D geometry is a must.

Niantic’s R&D Team in London is seeking a Computer Vision Researcher to push the frontiers of Augmented Reality and work on Niantic's Large Geospatial Model. You will work as part of a fun team, to invent and develop novel algorithms and systems that sit at the cross-section of computer vision, machine learning, graphics, and robotics. We’re passionate about discovery, so we’re looking for scientists who want to learn, publish, teach, and deploy every new invention that could help make better “adventures on foot, with others.” Niantic Engineering leads the advancement of AR and other immersive technologies, while creating engaging apps for a user base of millions.

Responsibilities

  • Perform scientifically rigorous research into novel algorithms, leading to fun and useful inventions.
  • Publish and patent discoveries, and teach others, internally/externally, what you have learned.
  • Work jointly with local and international team members, getting and giving help. Expect to mentor interns, and to learn from expert engineers.
  • Help to pick important problems and technologies, and stay current with the international community, by reading papers, code, and blogs, and by attending conferences.
  • Solve emerging problems that relate to location-based AR, training data, 3D geometry, model efficiency, and interactive systems.
  • Build proof of concept prototypes, initially for internal use, where some will need to scale to millions of users.
  • Extend Niantic’s AR platform to deliver the next generation of intelligent Augmented Reality.
  • Collaborate with cross-functional team members and stakeholders, including regular and reliable attendance and participation in meetings.
  • Required in-office 2 days per week on Tuesdays and Thursdays.

Qualifications

  • You have either have a PhD or have completed the requirements for one, in one of the relevant fields: Computer Vision, Machine Learning, Computer Graphics, or Robotics.
  • You have 2+ years of experience in an industrial research lab.
  • You have multiple papers accepted to any of: CVPR, ICCV, ECCV, BMVC, NeurIPS, ICLR, ICML, SIGGRAPH, Europgraphics, ICRA, IROS, or ISMAR.
  • You have designed novel computational models / CNN architectures to tackle vision-related problems.
  • You have experience collecting or organizing data to validate your research.
  • You have implemented efficient code to validate your research.
  • Ability to work in a fast-paced hybrid environment and handle stress appropriately and/or ability to solve practical problems and be sufficiently adaptable to handle dynamic situations with little advance notice.
  • Experience working on cross-functional teams with ability to communicate effectively through written and verbal communications, including asynchronous interactions with others.

Plus If...

  • You are comfortable with 3D geometry and linear algebra.
  • You have made efficient ML or 3D graphics applications for mobile devices.
  • You have strong experience with Unity3D, Blender, or similar.
  • You have designed + built project(s) that are used by others.
  • You have worked with a diverse team, including R&D, QA, and designers.

The total compensation package for this position includes a new hire offer base salary range of £113,400 - £126,000 + bonus + equity + benefits.

Individual pay within this salary range is determined by work location and additional factors, including assessed job-related skills, experience, and relevant education or training. Your recruiter can answer any questions about new hire total compensation during the hiring process. An overview of benefit offerings for your location can be found on the careers page.

Join the Niantic team!

Niantic's global-scale augmented reality platform and digital map powers spatial computing experiences in the real world. Incubated out of the Maps team at Google, Niantic first created Ingress and then Pokémon GO, a cultural phenomenon and hit game played by tens of millions of people each month. Niantic’s Lightship platform, which powers Pokémon GO, also supports the company's other games including Pikmin Bloom, Peridot and Monster Hunter Now. Developers use Niantic’s platform to build their own AR applications and experiences, either with the Lightship Platform or directly through the web with 8th Wall.

We believe that cultivating a workplace where our people are supported and included is essential to creating great products our community will love. Our mission emphasizes seeking and hiring diverse voices, including those who are traditionally underrepresented in the technology industry, and we consider this to be one of the most important values we hold close.

Niantic is a hybrid first company. We believe that in person interaction and collaboration fosters creativity, a sense of community, and is critical to our future success as a company. Our hybrid work schedules allow for a mix of remote and in-office work.

We're a hard-working, fun, and exciting group who value intellectual curiosity and a passion for problem-solving! We have growing offices located in San Francisco, Sunnyvale, Palo Alto, Bellevue, Kansas, London, Tokyo, Hamburg, Hyderabad, and Zurich. #LI-HYBRID

About The Company

Niantic inspires people to explore the world, together. Our mission is to use emerging augmented reality (AR) technology to enrich our experiences as human beings in the physical world. Originally formed at Google in 2011, we are now an independent company with a strong group of investors including Nintendo, The Pokémon Company, and Alsop Louie Partners. We have offices located in San Francisco, Sunnyvale, Seattle, Lawrence, Los Angeles, Tokyo, London, Hamburg, and Zurich. 

California, United States (On-Site)

California, United States (On-Site)

California, United States (Hybrid)

Washington, United States (Hybrid)

California, United States (Hybrid)

Washington, United States (Hybrid)

California, United States (Hybrid)

California, United States (Hybrid)

California, United States (Hybrid)

Washington, United States (Hybrid)

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