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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).

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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>

SLAY seeks a Marketing Data Analyst to drive data-informed marketing decisions. Responsibilities include data analysis, predictive modeling (LTV forecasting, user behavior), attribution modeling (including SKAdNetwork), A/B testing, and cross-functional collaboration with marketing, user acquisition, and data engineering teams.  The ideal candidate will have 3+ years of experience in marketing analytics within a gaming company, strong SQL and programming skills (Python or R), expertise in predictive and attribution modeling, experience with data visualization tools, and a deep understanding of performance marketing metrics.

<div class="EditorContent-sc-dc2fd2dc-0 RmbKY"><div class="sc-hLseeU eFIfeu"><p>SLAY, founded in December 2022, has swiftly made its mark in the mobile world. In 2023, we developed several apps and games that reached the #1 spot in the App Store across 3 continents.</p><p>Backed by some of the world's most esteemed investors, including Accel, Kevin Weil, Riccardo Zacconi Scott Belsky, and Ilkka Paananen, SLAY is rapidly growing and reaching millions of users.</p><p>Our mission is to create digital life through AI and become the leading company for virtual friends that live, grow and evolve like humans—starting with Pengu. Pengu has become the biggest AI character app with its own IP in the US and Europe.</p></div><h2 class="sc-hLseeU gDfXIv">Tasks</h2><div class="sc-hLseeU eFIfeu"><p>• Data Analysis and Insights: Enable tactical and strategic decision-making by providing insightful analyses, developing predictive models, and creating dashboards.</p><p> • Predictive Analytics: Build and interpret predictive models to forecast Lifetime Value (LTV) and user behavior, optimizing marketing spend and strategies.</p><p> • Attribution Modeling: Implement and refine attribution models—including probabilistic and multi-touch models—working with SKAdNetwork (SKAN) data and other privacy-centric attribution methods.</p><p> • A/B Testing: Design, analyze, and interpret the results of A/B tests to inform marketing strategies and improve campaign performance.</p><p> • Cross-functional Collaboration: Work closely with marketing, user acquisition, and data engineering teams to understand data needs and deliver solutions that drive business objectives.</p></div><h2 class="sc-hLseeU gDfXIv">Requirements</h2><div class="sc-hLseeU eFIfeu"><p> <strong>Experience:</strong></p><ul><li>3+ years in a role such as Data Analyst or Data Scientist with a strong emphasis on marketing analytics.</li><li>Currently employed in a gaming company, actively addressing similar challenges is a plus.</li></ul><p><strong>Technical Proficiency:</strong></p><ul><li>Strong expertise in SQL and experience with data analysis tools.</li><li>Proficiency in a programming language (e.g., Python or R).</li><li>Experience with cloud data warehouses is a plus.</li></ul><p><strong>Predictive Analytics:</strong></p><ul><li>Experience with predictive modeling techniques and forecasting LTV.</li><li>Familiarity with machine learning concepts and algorithms relevant to marketing analytics.</li></ul><p><strong>Attribution Modeling:</strong></p><ul><li>Strong knowledge of attribution models, including probabilistic and multi-touch models.</li><li>Familiarity with mobile attribution challenges like SKAdNetwork (SKAN).</li></ul><p><strong>Data Visualization:</strong></p><ul><li>Proficiency with visualization tools like Tableau, Looker, or Power BI.</li></ul><p><strong>Marketing Knowledge:</strong></p><ul><li><strong>Deep understanding of performance marketing, user acquisition strategies, and performance metrics (e.g., CPI, CPA, ROAS, K-factor).</strong></li></ul><p><strong>Analytical Mindset:</strong></p><ul><li>Strong problem-solving skills and a data-driven approach.</li><li>Ability to handle complex datasets and extract actionable insights.</li></ul><p><strong>Communication Skills:</strong></p><ul><li>Excellent verbal and written communication skills.</li><li>Ability to convey complex data insights to non-technical stakeholders.</li></ul><p><strong>Adaptability:</strong></p><ul><li>Proven ability to deliver high-quality results in a fast-paced, high-pressure environment.</li></ul></div></div>