Senior Machine Learning Engineer - Open Application

<div class="content-intro"><p><strong data-stringify-type="bold">About Teads</strong></p> <p><br>Teads is a leading omnichannel advertising platform focused on driving outcomes for brand and performance advertisers across screens. With a focus on meaningful business outcomes for branding and performance objectives, Teads drives value by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, New York with a global team of around 1,700 people in 30+ countries.</p> <p>For more information, visit <a href="https://www.teads.com">www.teads.com.</a></p></div><p>Don’t see the perfect position for you?</p> <p>Apply here and add your resume to our Machine Learning Talent Network! We’re always excited to connect with talented professionals<strong> </strong>who are passionate about high traffic environment and managing big amounts of data.</p> <p><span style="text-decoration: underline;"><strong>This is not an active job posting and you will only be contacted if there is a future role that fits your skillset.</strong></span></p> <h3><strong>Our main Engineering challenges at Teads</strong></h3> <ul> <li>Build <strong>efficient and easy-to-use web products</strong> used by thousands of users working for the world’s most premium publishers, advertisers, and agencies.</li> <li><strong>Rich and diverse tech stack and system architecture</strong> to optimize for <strong>performance, scalability, resiliency</strong>, and cost efficiency. We use mostly Scala and TypeScript, among others.</li> <li>Working in a very <strong>high-traffic</strong> environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).</li> <li>Management of <strong>large datasets</strong> with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).</li> <li>A fast-changing environment where we continuously <strong>collaborate with Product teams</strong> and constantly adapt our Cloud infrastructure for <strong>new features and Products</strong>.</li> <li>Bring a wide diversity of profiles to the same level of quality and knowledge</li> <li>Work in an international environment