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Computer Vision Software Engineer, London

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Niantic's AR Mapping team seeks a Computer Vision Software Engineer to build 3D world maps for their real-world Metaverse.  Responsibilities include designing, developing, and maintaining production computer vision systems to enhance AR capabilities, collaborating with cross-functional teams to deliver solutions, optimizing system complexity and time, writing high-performance code, and working with the research team to innovate in AR. The role involves working on solutions that will be used by millions.  The ideal candidate will have a Master's degree (or equivalent) in a related field and experience in production code (C++), computer vision, and machine learning.  In-office work is required two days a week (Tuesdays and Thursdays).

<p>Building technologies and ideas that move us as the leaders in Augmented Reality</p>

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<div class="job__description body"><div><p>Niantic’s Augmented Reality (AR) Mapping team seeks a Computer Vision Software Engineer to help build the 3D world maps that are the foundation for Niantic’s real world Metaverse and push the frontiers of Computer Vision and Machine Learning.</p>
<p>We are building the VPS and visual maps that help develop AR experiences to “inspire people to explore the world together”.</p>
<p>We’re a highly collaborative and engaging team, working to help algorithms evolve from concept to production at scale, and this is your chance to join us in our journey to map the world. We are all passionate about innovation, so we’re looking for engineers who want to learn and ship products that will be used by millions of developers and users.</p>
<h3>Responsibilities</h3>
<ul>
<li>Design, develop and maintain production computer vision systems that are used to improve Niantic’s AR capabilities for the delight of our users.</li>
<li>Collaborate multi-functionally with products, operations and other engineering teams to ship state-of-the art computer vision solutions to enable new AR experiences.</li>
<li>Optimize complexity and time of solutions to make the best use of current technologies in cloud and/or mobile.</li>
<li>Write high performance code, debug solutions to complex problems that span systems, prioritize tasks effectively, and efficiently to meet agreed timelines.</li>
<li>Work with Niantic’s research team to invent, evaluate and help productionise solutions to push the boundaries of what can be done today in AR.</li>
<li>Collaborate with cross-functional team members and stakeholders, including regular and reliable attendance and participation in meetings.</li>
<li>Required in-office 2 days on Tuesday and Thursday.</li>
</ul>
<h3>Qualifications</h3>
<ul>
<li>Master-level qualification in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.</li>
<li>Experience writing production code in C++.</li>
<li>Solid understanding of computer vision, machine learning or similar concepts.</li>
<li>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.&nbsp;</li>
<li>Experience working on cross-functional teams with ability to communicate effectively through written and verbal communications, including asynchronous interactions with others.</li>
</ul>
<h3>Plus If…</h3>
<ul>
<li>PhD-level qualification in Computer Science, Electrical Engineering, mathematics, or a related field, or equivalent practical experience.</li>
<li>Demonstrated ability developing algorithms for image processing, computer vision or similar endeavors.</li>
<li>Experience implementing, hardening or optimizing 3d gaussian splatting, dense depth computation, multi-view reconstruction or other problems in 3D computer vision.</li>
</ul>
<p>The total compensation package for this position includes a new hire offer base salary range of £87,300.00-£126,000.00 + bonus + equity + benefits.</p>
<p>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.</p>
<h3><strong>Join the Niantic team!</strong></h3>
<p>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.</p>
<p>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.</p>
<p>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.</p>
<p>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</p></div></div>

This is a remote internship opportunity for an AI enthusiast interested in the media and entertainment industry. You'll be working on creating and orchestrating AI agents to automate tasks in movie production, such as script-to-storyboard conversion, ensuring character and location consistency, and optimizing camera solving techniques. Your responsibilities will include developing AI models, automating tasks, orchestrating agents, optimizing processes, conducting research, and collaborating with the team. The internship offers hands-on experience in applying AI to real-world film production challenges and the opportunity to work with cutting-edge technology.

Rigging artist

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  <span id="spandesc"><p>This is a remote position.</p><span><span dir="ltr" class="ui-provider ah ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn mo mp mq mr ms mt mu mv mw mx my mz na nb nc nd ne nf"><p></p>
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      <b>About the Role</b>:
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       We are looking for a passionate AI intern with a strong interest in the media and entertainment industry, particularly in solving complex challenges in the world of filmmaking. As an AI intern, you will work on creating and orchestrating AI agents to automate and streamline various aspects of movie production, such as script-to-storyboard conversion, ensuring character and location consistency, and optimizing camera solving techniques.
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     </div><p></p><p><b>Key Responsibilities</b>:<br></p>
     <ul>
      <li><b>Develop AI Models</b>: Create and refine AI models that address challenges in converting scripts to storyboards, focusing on maintaining character and location consistency.<br></li>
      <li><b>Automate Tasks</b>: Design intelligent agents capable of automating tasks involved in movie-making workflows.<br></li>
      <li><b>Agent Orchestration</b>: Collaborate on developing efficient processes and pipelines for orchestrating multiple agents, ensuring seamless transitions between tasks and file deliveries.<br></li>
      <li><b>Process Optimization</b>: Assist in creating a robust and efficient AI-driven process to manage and streamline agent orchestration in real-time.<br></li>
      <li><b>Research &amp; Development</b>: Stay updated with the latest AI and ML trends and research to apply cutting-edge techniques in solving movie production challenges.<br></li>
      <li><b>Collaboration</b>: Work closely with our team of developers, artists, and film professionals to integrate AI solutions seamlessly into our filmmaking pipeline.<br></li>
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  <span id="spanreq"><h3>Requirements</h3><span><span dir="ltr" class="ui-provider ah ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn mo mp mq mr ms mt mu mv mw mx my mz na nb nc nd ne nf">
     <ul>
      <li><b>Educational Background</b>: Pursuing or completed a degree in Computer Science, AI, Machine Learning, or a related field.<br></li>
      <li><b>Technical Skills</b>: Proficiency in Python and familiarity with frameworks such as TensorFlow, PyTorch, or similar. Knowledge of C is a plus.<br></li>
      <li><b>Passion for Media</b>: A strong interest in the film industry and an eagerness to learn about and solve movie-making challenges using AI.<br></li>
      <li><b>Problem-Solving Skills</b>: Ability to think critically and develop innovative AI solutions.<br></li>
      <li><b>Self-Starter</b>: Demonstrates initiative through self-directed projects or experiences related to AI or automation.<br></li>
      <li><b>Communication</b>: Strong communication skills and the ability to work collaboratively in a team setting.<br></li>
     </ul><p><b>Preferred Skills</b>:<br></p>
     <ul>
      <li>Experience or projects involving AI agents or agent orchestration.<br></li>
      <li>Understanding of storyboarding, camera mechanics, or media production processes.<br></li>
      <li>Familiarity with automation tools and pipeline development.<br></li>
     </ul></span></span>
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  <span id="spanben"><h3>Benefits</h3><span><span dir="ltr" class="ui-provider ah ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn mo mp mq mr ms mt mu mv mw mx my mz na nb nc nd ne nf">
     <ul>
      <li>Hands-on experience in applying AI to real-world problems in the movie industry.<br></li>
      <li>The opportunity to work with cutting-edge technology in a creative and innovative environment.<br></li>
      <li>Mentorship from industry professionals and the chance to contribute to groundbreaking projects in filmmaking.<br></li>
     </ul></span></span>
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