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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>

We are looking for a Machine Learning Engineer with expertise in machine learning (ML), deep learning (DL), computer vision (CV), and natural language processing (NLP) to develop and implement ML/DL models for various applications. Must have strong proficiency in TensorFlow, PyTorch, Keras, and experience with image classification, object detection, and NLP techniques.

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 Company Description We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable. Job Description Job Summary: We are seeking a highly skilled and motivated Machine Learning Engineer with expertise in machine learning (ML), deep learning (DL), computer vision (CV), and natural language processing (NLP). The ideal candidate will have a strong background in developing and implementing ML/DL models to solve complex problems and drive innovation in our projects. Key Responsibilities <ul><li>Develop and Implement ML/DL Models: Design, build, and deploy machine learning and deep learning models for various applications in computer vision and natural language processing.</li><li>Research and Development: Stay updated with the latest advancements in ML, DL, CV, and NLP. Implement cutting-edge techniques to solve challenging problems.</li><li>Data Analysis: Perform data collection, pre-processing, and analysis to prepare datasets for training and testing models.</li><li>Collaborate with Teams: Work closely with cross-functional teams including data scientists, engineers, and product managers to understand requirements and deliver solutions.</li><li>Performance Optimization: Optimize and tune models for performance, accuracy, and scalability.</li><li>Documentation and Reporting: Document methodologies, processes, and results. Communicate findings and progress to stakeholders. </li></ul>
Qualifications Educational Background: <ul><li>Bachelor’s degree in computer science, Engineering, Mathematics, or a related field with at least 4 years of relevant work experience.</li><li>Master’s degree in computer science, Engineering, Mathematics, or a related field with at least 2 year of relevant work experience.</li><li>Research degree (MS by Research) or Ph.D. in a related field. </li></ul>
Technical Skills <ul><li>Solid programming skills in Python.</li><li>Familiarity with data manipulation and analysis libraries such as Pandas and NumPy.</li><li>Strong proficiency in machine learning and deep learning frameworks such as TensorFlow, PyTorch, Keras, or similar.</li><li>Knowledge of popular machine learning algorithms and techniques.</li><li>Deep understanding of deep learning architectures such as CNNs, RNNs, LSTMs, transformers, and multi-modal models like CLIP and BLIP.</li><li>Experience with image classification, object detection, recognition, generative models, Visual Question Answering (VQA) models, and image captioning.</li><li>Familiarity with basic image processing and text processing techniques.</li><li>Proficiency in natural language processing techniques and libraries such as SpaCy, BERT, Transformers, or similar. </li></ul>
Additional Skills <ul><li>Familiarity with Linux environments and using AWS EC2 for developing and deploying models.</li><li>Excellent problem-solving skills and ability to think critically.</li><li>Strong communication skills to effectively collaborate with team members and stakeholders. </li></ul>
Additional Information For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture. We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Verisk Businesses <a class="app-aware-link " target="_blank" href="https://www.verisk.com/insurance/capabilities/underwriting/" data-test-app-aware-link="">Underwriting Solutions</a> — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision <a class="app-aware-link " target="_blank" href="https://www.verisk.com/insurance/capabilities/claims/" data-test-app-aware-link="">Claims Solutions</a> — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences <a class="app-aware-link " target="_blank" href="https://www.verisk.com/property-estimating-solutions/" data-test-app-aware-link="">Property Estimating Solutions</a> — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient <a class="app-aware-link " target="_blank" href="https://www.air-worldwide.com/" data-test-app-aware-link="">Extreme Event Solutions</a> — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events. <a class="app-aware-link " target="_blank" href="https://www.verisksequel.com/" data-test-app-aware-link="">Specialty Business Solutions</a> — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance <a class="app-aware-link " target="_blank" href="https://www.verisk.com/verisk-marketing-solutions/" data-test-app-aware-link="">Marketing Solutions</a> — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement <a class="app-aware-link " target="_blank" href="https://www.verisk.com/insurance/life-insurance/" data-test-app-aware-link="">Life Insurance Solutions</a> – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. <a class="app-aware-link " target="_blank" href="https://www.maplecroft.com/" data-test-app-aware-link="">Verisk Maplecroft</a> — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. <a class="app-aware-link " target="_blank" href="https://www.verisk.com/company/careers/" data-test-app-aware-link="">https://www.verisk.com/company/careers/ </a>Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. 
 
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