The leading provider of digital identity verification and fraud solutions.

Socure

Lead Computer Vision Engineer

Niantic

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).

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<div class="job__description body"><div>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.
We are building the VPS and visual maps that help develop AR experiences to “inspire people to explore the world together”.
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.
<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>
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.
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.
<h3>Join the Niantic team!</h3>
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</div></div>

Socure is hiring a Lead Computer Vision Engineer with 7-9 years experience in implementing and optimizing computer vision algorithms for document verification and fraud. Must have strong Python programming skills, experience in image and video analysis techniques, and deep learning expertise in CNNs, RNNs, and GANs.

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 Overview: Founded in 2012, Socure is the leader in high-assurance digital identity verification technology. Named to Forbes’ 2019 AI 50 list as one of America’s most promising AI companies and a recent winner of API World’s Best Data API, Socure’s technology applies artificial intelligence and machine learning techniques with trusted intelligence from email, address, phone, IP, social media, and the broader Internet to verify identities in real time. Socure’s customers include three of the top five U.S. banks, seven of the top 10 U.S. card issuers, as well as the majority of leading digital banks, lenders and insurers across the U.S. Socure is funded by some of the world's best investors and entrepreneurs including Scale Venture Partners, Commerce Ventures, Work-Bench, Santander InnoVentures, and Two Sigma Ventures.In our mission to become the single, trusted source of identity verification and eliminate identity fraud from the internet, machine learning is at the core of the solutions we build. It’s how we innovate and how we offer the most accurate Identity Verification on the market.We are looking for a Lead Computer Vision Engineer to join our India Data Science Computer Vision team . What You'll Be Doin <ul><li>g:The Computer vision team is responsible for building and maintaining computer vision solutions for document verification and fraud at Socure. If you enjoy building, optimizing, deploying, and maintaining pipelines and infrastructure for machine learning/deep learning lifecycle from data collection/analytics to scalable deployment. Or if you enjoy building tools for others, and have a nose for automating data science work, we’d love to meet and talk about your experiences!What You'll Be Doin</li><li>g:Develop machine learning solutions to solve challenging proble</li><li>msDesign and implement robust and scalable systems and pipelin</li><li>esBuild and maintain infrastructure in all aspects of the machine learning / deep learning lifecyc</li><li>leDemonstrate best practices in version control and continuous integration / delive</li><li>ryOwn and drive initiatives from conception to completion and monitori</li><li>ngCollaborate with data scientists, engineers, product managers and other key stakeholders in a fast-paced cross-functional environme</li></ul>
 nt What You’ll Bri <ul><li>ng:Advanced Degree in Computer Science or Related Fie</li><li>ld:Master’s or Ph.D. in computer science, data science, artificial intelligence, or a related field with a focus on computer vision or machine learni</li><li>ng.Proficiency in Programming Languag</li><li>es:Strong programming skills in Python with extensive experience using libraries and frameworks such as PyTorch, TensorFlow, Keras, and Open</li><li>CV.7-9 Years of experience in the following are</li><li>as:Experience with Image and Video Analysis Techniqu</li><li>es:Proven track record in implementing and optimizing computer vision algorithms related to object detection, image segmentation, video analysis, and face recogniti</li><li>on.Experience with Multimodal Mod</li><li>el:Demonstrated expertise in developing and integrating multimodal systems that leverage both visual and non-visual data (such as textual, layout, or tabular data) to enhance model performance and robustness in complex environments. This includes experience with fusion techniques for combining multiple types of data and applying these in practical, real-world applicatio</li><li>ns.Machine Learning and Deep Learning Experti</li><li>se:Deep understanding of machine learning algorithms including deep learning architectures like CNNs, RNNs, and GANs, specifically applied to computer visi</li><li>on.Data Handling Skil</li><li>ls:Experience in handling, processing, and analyzing large datasets of images and videos, with a strong grasp of data augmentation and preprocessing techniqu</li><li>es.Problem-Solving Skil</li><li>ls:Strong analytical skills with the ability to develop and deploy CV models that solve complex problems in a variety of application areas such as autonomous driving, augmented reality, or medical image analys</li><li>is.Collaboration and Communicati</li><li>on:Excellent communication skills with the ability to work collaboratively in cross-functional teams to integrate computer vision systems into broader product offerin</li><li>gs.Project Management Experien</li><li>ce:Demonstrated experience in managing projects from inception to completion, delivering actionable solutions in a timely mann</li><li>er.Industry Experien</li><li>ce:Prior work experience in industry applications of computer vision centric technology, such as in automotive, retail, healthcare, or security, is highly advantageo</li></ul>
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