<p>imagine.io is B2B SaaS startup that has created an easy-to-use 3D content creation platform that empowers furniture, home furnishing accessories, textile manufacturers, and more to create stunning photo realistic 3D content without any engineering or 3D design background. Our cutting-edge real-time 3D graphics technology is built by a team of 3D experts with cloud-based rendering technology all wrapped into an easy-to-use web interface. </p>

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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>

Imagine.io seeks a Senior DevOps Engineer to lead the design and implementation of cutting-edge MLOps and DevOps solutions for AI-driven products.  Responsibilities include defining development processes, deploying Generative AI models (diffusion models, LLMs), collaborating with data scientists and engineers, building CI/CD pipelines for Generative AI workflows, optimizing infrastructure (PaaS/IaaS), staying current with MLOps trends, and mentoring junior team members.  The role requires expertise in Google Cloud, containerization (Docker, Kubernetes), IaC, and DevOps tools.

<section aria-labelledby="job-description-title" class="styles--3vx-H" data-ui="job-description"><h2 id="job-description-title">Description</h2><div><p>Imagine.io’s mission is to make 3D simple for everyone. We believe that simplicity in 3D visualization is critical for creating engaging visual content at scale. To go beyond the traditional 2D-3D canvas and create contextual, photo-realistic, and interactive experiences with ease and simplicity will come from vision and creativity. We are working to scale our 3D technology with generative AI models and easy-to-adopt UX, so brands, retailers, and individuals are empowered to generate visual content using 3D.</p><p>Imagine.io<a tabindex="0" data-role="button-link" class="button--2de5X button--14TuV tertiary--1JsWJ external" rel="nofollow noreferrer noopener" target="_blank" href="http://imagine.io/"></a>&nbsp;is financially backed by top VC firms.</p><p></p><p>Our Product Video -&nbsp;<a tabindex="0" data-role="button-link" class="button--2de5X button--14TuV tertiary--1JsWJ external" rel="nofollow noreferrer noopener" target="_blank" href="https://www.youtube.com/watch?v=dI3M-Ayrk9g">https://www.youtube.com/watch?v=dI3M-Ayrk9g</a></p><p>To learn more, log onto our website-&nbsp;<a tabindex="0" data-role="button-link" class="button--2de5X button--14TuV tertiary--1JsWJ external" rel="nofollow noreferrer noopener" target="_blank" href="https://imagine.io/">https://imagine.io/</a></p><p><a tabindex="0" data-role="button-link" class="button--2de5X button--14TuV tertiary--1JsWJ external" rel="nofollow noreferrer noopener" target="_blank" href="http://www.livefurnish.com/"></a></p><h3><strong>Job Summary:</strong></h3><p>Imagine.io is seeking an experienced Senior DevOps Engineer to join our dynamic team and play a pivotal role in advancing our AI-driven solutions. As an Experienced Senior DevOps Engineer, you will lead the design and implementation of cutting-edge MLOps and DevOps solutions, leveraging your extensive expertise to optimize performance, scalability, and reliability. You'll collaborate closely with multidisciplinary teams to develop end-to-end CI/CD pipelines tailored for machine learning workflows and help in defining and setting development, testing, release, update, and support processes for DevOps and MLOps operations to establishing best practices for model versioning, monitoring, and governance.</p><p></p><p><strong>Designation: DevOps Engineer</strong></p><p><strong>Job Location: Delhi (Hybrid/Remote)</strong></p><p><strong>Job Type: Full-Time</strong></p><p><strong>Start Date: ASAP</strong></p><p></p><h3><strong>Responsibilities:</strong></h3><ul> <li>Lead the design and implementation of  DevOps and MLOps solutions to enhance our platform's capabilities.</li> <li>Defining and setting development, testing, release, update, and support processes for DevOps and MLOps operations.</li> <li>Deployment of diffusion models, LLM Models, and Cost-effective deployment of Generative AI products.</li> <li>Collaborate closely with data scientists, machine learning engineers, and product developers to integrate Generative AI models into our existing infrastructure seamlessly.</li> <li>Develop and implement end-to-end CI/CD pipelines specifically tailored for Generative AI model workflows to ensure reliable and automated model deployment.</li> <li>Optimize and fine-tune infrastructure services, including PaaS and IaaS, to maximize performance, scalability, and cost efficiency for machine learning applications.</li> <li>Stay updated with the latest advancements in MLOps tools, techniques, and industry trends to drive innovation and continuously improve our MLOps practices.</li> <li>Provide technical leadership and mentorship to junior team members to foster a culture of continuous learning and growth within the MLOps and DevOps team.</li> </ul><p></p></div></section><section aria-labelledby="job-requirements-title" class="styles--3vx-H" data-ui="job-requirements"><h2 id="job-requirements-title">Requirements</h2><div><p></p><ul> <li>3+ years of total experience in DevOps with relevant experience in implementing MLOps solutions.</li> <li>Must have experience with Google Cloud, with hands-on experience deploying machine learning models in production environments.</li> <li>Experienced in the scalable and cost-effective deployment of machine learning models and other modules.</li> <li>Extensive experience with containerization technologies like Docker and orchestration tools like Kubernetes for managing workloads at scale.</li> <li>Proficiency in Infrastructure as code (IaC) for automating the provisioning and configuration of cloud resources.</li> <li>Experience with DevOps practices and tools, including CI/CD pipelines, version control systems, and automated testing frameworks.</li> <li>Excellent problem-solving skills and the ability to troubleshoot and debug complex MLOps workflows.</li> </ul><p></p><h3><strong>Good to have:</strong></h3><ul> <li>Experienced in deployment of diffusion models, LLM Models, and Generative AI products</li> <li>Certifications in cloud platforms, such as AWS and Google Cloud.</li> <li>Experience with MLOps tools and frameworks, such as Kubeflow, MLflow, or TFX, for managing the end-to-end machine learning lifecycle.</li> <li>Knowledge of data engineering principles and techniques for building scalable and reliable data pipelines.</li> <li>Familiarity with software development methodologies, such as Agile or Scrum, for iterative and collaborative project management.</li> </ul></div></section><section aria-labelledby="job-benefits-title" class="styles--3vx-H" data-ui="job-benefits"><h2 id="job-benefits-title">Benefits</h2><div><ul> <li>Build products from scratch and be part of decision making.</li> <li>Freedom to explore and implement your own ideas</li> <li>Hybrid Work Mode</li> <li>Open culture with flexible timings</li> <li>Work with a Team who is a Family</li> </ul></div></section>